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Click to edit Master title style
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
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Evidence from Content
LBSC 796/INFM 718R
Session 2
September 17, 2007
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Where Representation Fits
Documents
Query
Hits
= Representation
= Function
= Representation
= Function
Query Representation
Document Representation
= Comparison
= Function
Index
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Agenda
ØCharacter sets
•Terms as = units of meaning
•Building = an index
•Project o= verview
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The character ‘A’
•A= SCII encoding: 7 bits used per character
= 211;0 1= 0 0 0 0 0 1       =3D 65 (decimal)
= 211;0 1= 0 0  0 0 0 1      =3D 41 (hexadecimal)
= 211;0 1=   0 0 0  0 0 1     =3D 101 (octal)=
= 211;
•N= umber of representable character codes:
= 211;27 =3D 128
= 211;
•S= ome codes are used as “control characters”
= 211;e.g.  7 (decimal) rings a “bell” (these days, a beep) (“^G”= ;)
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ASCII
&#= 8226;Widely used in the U.S.
= 211;American Standard Code for Information Interchange =
&= #8211;ANSI X3.4-1968
|  0 NUL | 32 SPACE | 64 @ |  96 `   |
|  1 SOH | 33 !     | 65 A |  97 a   |
|  2 STX | 34 "     | 66 B |  98 b   |
|  3 ETX | 35 #     | 67 C |  99 c   |
|  4 EOT | 36 $     | 68 D | 100 d<= span style=3D'mso-spacerun:yes'>   |
|  5 ENQ | 37 %     | 69 E | 101 e<= span style=3D'mso-spacerun:yes'>   |
|  6 ACK | 38 &     | 70 F | 102 f<= span style=3D'mso-spacerun:yes'>   |
|  7 BEL | 39 '     | 71 G | 103 g<= span style=3D'mso-spacerun:yes'>   |
|  8 BS  | 40 (     | 72 H | 104 h<= span style=3D'mso-spacerun:yes'>   |
|  9 HT  | 41 )     | 73 I | 105 i<= span style=3D'mso-spacerun:yes'>   |
| 10 LF  | 42 *     | 74 J | 106 j<= span style=3D'mso-spacerun:yes'>   |
| 11 VT  | 43 +     | 75 K | 107 k<= span style=3D'mso-spacerun:yes'>   |
| 12 FF  | 44 ,     | 76 L | 108 l<= span style=3D'mso-spacerun:yes'>   |
| 13 CR  | 45 -     | 77 M | 109 m<= span style=3D'mso-spacerun:yes'>   |
| 14 SO  | 46 .     | 78 N | 110 n<= span style=3D'mso-spacerun:yes'>   |
| 15 SI  | 47 /     | 79 O | 111 o<= span style=3D'mso-spacerun:yes'>   |
| 16 DLE | 48 0     | 80 P | 112 p<= span style=3D'mso-spacerun:yes'>   |
| 17 DC1 | 49 1     | 81 Q | 113 q<= span style=3D'mso-spacerun:yes'>   |
| 18 DC2 | 50 2     | 82 R | 114 r<= span style=3D'mso-spacerun:yes'>   |
| 19 DC3 | 51 3     | 83 S | 115 s<= span style=3D'mso-spacerun:yes'>   |
| 20 DC4 | 52 4     | 84 T | 116 t<= span style=3D'mso-spacerun:yes'>   |
| 21 NAK | 53 5     | 85 U | 117 u<= span style=3D'mso-spacerun:yes'>   |
| 22 SYN | 54 6     | 86 V | 118 v<= span style=3D'mso-spacerun:yes'>   |
| 23 ETB | 55 7     | 87 W | 119 w<= span style=3D'mso-spacerun:yes'>   |
| 24 CAN | 56 8     | 88 X | 120 x<= span style=3D'mso-spacerun:yes'>   |
| 25 EM  | 57 9     | 89 Y | 121 y<= span style=3D'mso-spacerun:yes'>   |
| 26 SUB | 58 :     | 90 Z | 122 z<= span style=3D'mso-spacerun:yes'>   |
| 27 ESC | 59 ;     | 91 [ | 123 {<= span style=3D'mso-spacerun:yes'>   |
| 28 FS  | 60 <     | 92 \ | 124 |<= span style=3D'mso-spacerun:yes'>   |
| 29 GS  | 61 =3D     | 93 ] | 125 }<= span style=3D'mso-spacerun:yes'>   |
| 30 RS  | 62 >     | 94 ^ | 126 ~<= span style=3D'mso-spacerun:yes'>   |
| 31 US  | 64 ?     | 95 _ | 127 DE= L |
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Geeky Joke for the Day
•<= /span>Why do computer geeks confuse Halloween and Christmas?
•<= /span>
•<= /span>Because 31 OCT =3D 25 DEC!
•
<= span style=3D'mso-special-format:bullet;position:absolute;left:-4.19%'>•<= /span>031 OCT  =3D 0*82     += 3*81     += 1*80        octal
•   =3D 0*102  + 2*101  + 5*100     decimal
•&= #13;
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The Latin-1 Character Set
&#= 8226;ISO 8859-1 8-bit characters for Western Europe
–<= /span>French, Spanish, Catalan, Galician, Basque, Portuguese, Italian, Albanian, Afrikaans, Dutch, German, Danish, Swedish, Norwegian, Finnish, Faroese, Icelandic, Irish, Scottish, and English=
Printab= le Characters, 7-bit ASCII
Additi= onal Defined Characters, ISO 8859-1
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East Asian Character Sets
&#= 8226;More than 256 characters are needed
&= #8211;Two-byte encoding schemes (e.g., EUC) are used
&#= 8226;Several countries have unique character sets
–GB in Peoples Republic of China, BIG5 in Taiwan, JIS in Japan, KS = in Korea, TCVN in Vietnam
= 226;Many characters appear in several languages
&= #8211;Research Libraries Group developed EACC
&= #8226;Unified “CJK” character set for USMARC records
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Unicode
&#= 8226;Single code for all the world’s characters
&= #8211;ISO Standard 10646
&#= 8226;Separates “code space” from “encoding”
&= #8211;Code space extends Latin-1
&= #8226;The first 256 positions are identical
&= #8211;UTF-7 encoding will pass through email
&= #8226;Uses only the 64 printable ASCII characters
&= #8211;UTF-8 encoding is designed for disk file systems
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Limitations of Unicode
&#= 8226;Produces larger files than Latin-1
&#= 8226;Fonts may be hard to obtain for some characters
&#= 8226;Some characters have multiple representations
&= #8211;e.g., accents can be part of a character or separate
&#= 8226;Some characters look identical when printed
&= #8211;But they come from unrelated languages
= 226;Encoding does not define the “sort order”
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Drawing it Together
&#= 8226;Key concepts
&= #8211;Character, Encoding, Font, Sort order
– <= /div>
&#= 8226;Discussion question
–How do you know what character set a document is written in?= 3;
&= #8211;What if a mixture of character sets was used?
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Agenda
•Character sets
ØTerms as units of meaning
•Building = an index
•Project o= verview
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Strings and Segments
&#= 8226;Retrieval is (often) a search for concepts
&= #8211;But what we actually search are character strings
• <= /div>
&#= 8226;What strings best represent concepts?
&= #8211;In English, words are often a good choice
&= #8226;Well-chosen phrases might also be helpful
&= #8211;In German, compounds may need to be split
&= #8226;Otherwise queries using constituent words would fail
&= #8211;In Chinese, word boundaries are not marked
&= #8226;Thissegmentationproblemissimilartothatofspeech
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Tokenization
•Words (from linguistic= s):
–Morphemes are the unit= s of meaning
–Combined to make words
•Anti (disestablishmentarian) ism
•<= /span>
•Tokens (from Computer Science)
–Doug ’s running = late !
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Morphology
•I= nflectional morphology
–P= reserves part of speech
–<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Destructions =3D Destruction+PLURAL=
–Destroyed     =3D Destroy+PAST
•
•D= erivational morphology
–R= elates parts of speech
–<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Destructor<= span style=3D'font-size:86%'>    =3D AGENTIVE(de= stroy)
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Stemming
•Conflates words, usual= ly preserving meaning
–Rule-based suffix-stripping helps for English
•{destroy, destroyed, destruction}: destr
–Prefix-stripping is ne= eded in some languages
•Arabic: {alselam}: = selam [Root: SLM (peace)]
»<= /span>
•Imperfect: goal is to = usually be helpful
–Overstemming
•{centennial,century,ce= nter}: cent
–Understamming:
•{acquire,acquiring,acq= uired}: acquir
•        = ;            &n= bsp;    {acquisition}: acquis
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Longest Substring Segmentation
&#= 8226;Greedy algorithm based on a lexicon
• <= /div>
&#= 8226;Start with a list of every possible term
• <= /div>
&#= 8226;For each unsegmented string
&= #8211;Remove the longest single substring in the list
&= #8211;Repeat until no substrings are found in the list
&#= 8226;Can be extended to explore alternatives
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Longest Substring Example
&#= 8226;Possible German compound term:
&= #8211;washington
» <= /div>
&#= 8226;List of German words:
&= #8211;ach, hin, hing, sei, ton, was, wasch
» <= /div>
&#= 8226;Longest substring segmentation
&= #8211;was-hing-ton
&= #8211;Roughly translates as “What tone is attached?”
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Probabilistic Segmentation
&#= 8226;For an input word   c1 c2 c3 … cn
&#= 8226;Try all possible partitions into w1 w2 w3 …
–c1      c2 c3 … cn
–c1     c2 c3     c3 … cn
–c1 c2      c3 R= 30; cn        = ;            &n= bsp;             etc.
&#= 8226;Choose the highest probability partition
&= #8211;E.g., compute Pr(w1 w2 <= /span>w3 <= /span>) using a language model
&#= 8226;Challenges: search, probability estimation
R= 26;&= #13;
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Non-Segmentation: N-gram Indexing<= /div>
= 226;Consider a Chinese document   c1 c2 c3 … cn
•
&#= 8226;Don’t segment (you could be wrong!)
– <= /div>
&#= 8226;Instead, treat every character bigram as a term
R= 11;c1 c2 ,   c2 c3 ,   c3 c4 , …   ,  cn-1 cn
R= 11;
&#= 8226;Break up queries the same way
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Relating Words and Concepts
&#= 8226;Homonymy: bank (river) vs. bank (financial)
&= #8211;Different words are written the same way
&= #8211;We’d like to work with word senses rather than words <= /div>
» <= /div>
&#= 8226;Polysemy: fly (pilot) vs. fly (passenger)
&= #8211;A word can have different “shades of meaning”
&= #8211;Not bad for IR: often helps more than it hurts
» <= /div>
&#= 8226;Synonymy: class vs. course
&= #8211;Causes search failures … well address this next week!
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Word Sense Disambiguation
&#= 8226;Context provides clues to word meaning
&#= 8211;“The doctor removed the appendix.”
&#= 8226;For each occurrence, note surrounding words
&#= 8211;e.g., +/- 5 non-stopwords
&#= 8226;Group similar contexts into clusters
&#= 8211;Based on overlaps in the words that they contain
&#= 8226;Separate clusters represent different senses
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Disambiguation Example
&#= 8226;Consider four example sentences
&= #8211;The doctor removed the appendix
&= #8211;The appendix was incomprehensible
&= #8211;The doctor examined the appendix
&= #8211;The appendix was removed
&#= 8226;What clues can you find from nearby words?
&= #8211;Can you find enough word senses this way?
&= #8211;Might you find too many word senses?
&= #8211;What will you do when you aren’t sure?
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Why Disambiguation Hurts
•D= isambiguation tries to reduce incorrect matches
–B= ut errors can also reduce correct matches
•
•R= anked retrieval techniques already disambiguate
–W= hen more query terms are present, documents rank higher
–E= ssentially, queries give each term a context
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Phrases
•Phrases can yield more precise queries
–“University of Maryland”, “solar eclipse”
•Automated phrase detect= ion can be harmful
–Infelicitous choices result in missed matches
–Therefore, never index only phrases
•Better to index phrase= s and their constituent words
–IR systems are good at evidence combination
•Better evidence combination Þ= ; less help from phrases
•Parsing is still relati= vely slow and brittle
–But Powerset is now trying to parse the entire Web
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Lexical Phrases
&#= 8226;Same idea as longest substring match
&= #8211;But look for word (not character) sequences
= 226;Compile a term list that includes phrases
&#= 8211;Technical terminology can be very helpful
&#= 8226;Index any phrase that occurs in the list
&#= 8226;Most effective in a limited domain
&= #8211;Otherwise hard to capture most useful phrases
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Syntactic Phrases
&#= 8226;Automatically construct “sentence diagrams”
&= #8211;Fairly good parsers are available
&#= 8226;Index the noun phrases
&= #8211;Might work for queries that focus on objects
Sentenc= e
Noun P= hrase
The qu= ick brown fox jumped over the lazy dog’s back
Noun p= hrase
Det
Adj
Adj
Noun
Verb
Adj
Noun
Adj
Det
Preposi= tional Phrase
Prep
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Syntactic Variations
<= span style=3D'font-size:133%'>•The “paraphrase problem”
–Prof. Douglas Oard s= tudies info= rmation access patterns. <= /div>
–Doug studies = patterns of user = access to different kinds of information. =
<= span style=3D'font-size:133%'>•Transform= ational variants (Jacquemin)
<= span style=3D'font-size:117%'>–Coordinat= ions
<= span style=3D'mso-special-format:bullet;position:absolute;left:-2.83%'>•<= /span> lung and breast cancer Þ lung cancer
<= span style=3D'font-size:117%'>–Substitut= ions
<= span style=3D'mso-special-format:bullet;position:absolute;left:-2.68%'>•<= /span>inflammatory sinonasal disease = Þ inflammatory disease
<= span style=3D'font-size:117%'>–Permutati= ons
<= span style=3D'mso-special-format:bullet;position:absolute;left:-2.83%'>•<= /span>addition of calcium Þ= calcium addition
<= span style=3D'font-size:133%;visibility:hidden'>•
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“Named Entity” Tagging
&#= 8226;Automatically assign “types” to words or phrases
&= #8211;Person, organization, location, date, money, …
» <= /div>
&#= 8226;More rapid and robust than parsing
» <= /div>
&#= 8226;Best algorithms use “supervised learning”
&= #8211;Annotate a corpus identifying entities and types
&= #8211;Train a probabilistic model
&= #8211;Apply the model to new text
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Example: Predictive Annotati= on for Question Answering
In reality, at the time of Edison’s 1879 patent, the light bulb
had been in existence for some five decades ….
TIME
PERSON
Who patented the light bulb?
=
When = was the light bulb patented?
patent light bulb PERSON
patent light bulb TIME
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A “Term” is Whatever You Index
•Word sens= e
•Token = ;
•Word =
•Stem =
•Character n-gram
•Phrase
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Summary
&#= 8226;The key is to index the right kind of terms
• <= /div>
&#= 8226;Start by finding fundamental features
&= #8211;So far all we have talked about are character codes
&= #8211;Same ideas apply to handwriting, OCR, and speech
&#= 8226;Combine them into easily recognized units
&= #8211;Words where possible, character n-grams otherwise
&#= 8226;Apply further processing to optimize the system
&#= 8211;Stemming is the most commonly used technique
&#= 8211;Some “good ideas” don’t pan out that way
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Agenda
•Character sets
•Terms as = units of meaning
ØBuilding an index
•Project o= verview
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Where Indexing Fits
Source
Selection
Search
Query
Selection
Ranked List
Examination
Document
Delivery
Document
Query
Formulation
IR System
Indexing
Index
Acquisition
Collection
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Where Indexing Fits
Documents
Query
Hits
= Representation
= Function
= Representation
= Function
Query Representation
Document Representation
= Comparison
= Function
Index
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A Cautionary Tale
•Windows “Search” scans a hard drive in minutes
–If it only looks at the file names...
–<= /span>
•How long would it take= to scan all text on …
–A 100 GB disk?
–For the World Wide Web?
–<= /span>
•Computers are getting faster, but…
–How does Google give answers in seconds?
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Some Questions for Today
•H= ow long will it take to find a document?
–Is there any work we can do in advance?
–I= f so, how long will that take?
–
•H= ow big a computer will I need?
–H= ow much disk space?  How much RAM?
–
•W= hat if more documents arrive?
–H= ow much of the advance work must be repeated?
–W= ill searching become slower?
–H= ow much more disk space will be needed?
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Desirable Index Characteristics
&#= 8226;Very rapid search
&= #8211;Less than ~100ms is typically imperceivable
» <= /div>
&#= 8226;Reasonable hardware requirements
&= #8211;Processor speed, disk size, main memory size
» <= /div>
&#= 8226;“Fast enough” creation and updates
&= #8211;Every couple of weeks may suffice for the Web
&= #8211;Every couple of minutes is needed for news
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•McDo= nald's slims down spuds
•Fast-food chain to reduce certain types of = = fat in its french fries with new cooking oil. =
•NEW YORK (CNN/Money) - McDonald's Corp. = is cutting the amount of "bad" fat in its french fries nearly in ha= lf, the fast-food chain said Tuesday as it moves to make all its fried menu items healthier.
•But does that mean the popular shoestring fries = won't taste the same? The company says no. "I= t's = a win-win for our customers because they are getting the same great french-fry taste along = with an even healthier nutrition profile," sa= id Mike Roberts, president of McDonald's USA.
•But others are not so sure. McDonald's will not = specifically discuss the kind of oil it plans to u= se, but at least one nutrition expert says playing with the formula could mean a different taste. = ;
•Shares of Oak Brook, Ill.-based McDonald's = <= span style=3D'font-size:57%'>(MCD: down $0.54 to $23.22, Research, Estimates) were lower Tuesday afternoon. It was <= span style=3D'font-size:57%'>unclear Tuesday whether competitors Burger = King and Wendy's International (WEN: down <= /span>$0.80 to $34.91, Research, Estimates) would = follow suit. Neither company could immediately = be reached for comment.
•…=
•16 ×= ; said
•14 × McDonalds
•12 × fat
•11 × fries
•8 × new
•6 × company, french, nutrition
•5 ×= food, oil, percent, reduce,   
•      taste, Tuesday
•…&#= 13;
•
“Bag of Words”
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“Bag of TermsR= 21; Representation
•Bag =3D a “set” that can contain dupli= cates
<= span style=3D'font-size:86%'>Ø“The quick brown fox jumped over the lazy dog’s back” ®
•   <= /span> {back, brown, dog, fox, jump, lazy, over, quick, the, the}
•
•Vector =3D values recorded in any consistent order=
<= span style=3D'font-size:86%'>Ø{back, brown, dog, fox, jump, lazy, over, quick= , the, the} ®
– [1 1 1 1 1 1 1 1 2]
Start 1:30
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Why Does “Bag of Terms” Work?
•Words alone tell us a lot about content
•
•
•
•
•It is relatively easy to come up with words that describe an information need
•
•
•
Random: beating takes points falling an= other Dow 355
Alphabetical: 355 another beating Dow falling points
Actual: Dow takes another beating, fall= ing 355 points
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Bag of Terms Example
The quick brown
fox jumped over
the lazy dog’s
back.
Document 1
Document 2
Now is the time
for all good men
to come to the
aid of their party.
the
quick
brown
fox
over
lazy
dog
back
now
is
time
for
all
good
men
to
come
jump
aid
of
their
party
0
0
1
1
0
1
1
0
1
1
0
0
1
0
1
0
0
1
1
0
0
1
0
0
1
0
0
1
1
0
1
0
1
1
  Term
3D"Text
Document 1
3D"Text
Document 2
Stopword
     List
Start:  1:35

Questions:

What is the consistent order in this case?
Why is a consistent order needed?

How are the terms chosen in this case?
Stopword lists eliminate terms  that = only convey meaning through word order

Observations:

No need to keep a position for terms that never occur
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Content-Location: file:///C:/B278E2A1/796f072a_files/slide0079_image105.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhFQBNAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAUADQAJ ADkAgAAAAAAAAAJMhG+hyxCYoJy02vOwY0tfh3CelEWJaKaWAmpZ+bxhR5Ub3ZLhjNv7yIH9dKdG yjdEqT4blU04uiFruFzuGX1WqT1IbMIiTcPeoNFbAAA7 ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0079_image106.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhFQBNAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAUADAAJ ADoAgAAAAAAAAAJNRB5gp5rbHIzwRUuz3tzchSANxmGhRY6fc6puV30P6tUss5nhS5nXLtH4bqKg sTdqGVMv5RHGOg5tVCDUWuXRtMWOk5Rg4nri8gk7KgAAOw== ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0080.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Text Retrieval Issues
Boolean “Free Text” Retrieval
&#= 8226;Limit the bag of words to “absent” and “present”
&= #8211;“Boolean” values, represented as 0 and 1
&#= 8226;Represent terms as a “bag of documents”
&= #8211;Same representation, but rows rather than columns
&#= 8226;Combine the rows using “Boolean operators”
&= #8211;AND, OR, NOT
&#= 8226;Result set: every document with a 1 remaining
Start 1:40
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AND/OR/NOT
A
B
All documents
C
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charset="us-ascii" Text Retrieval Issues
Boolean Operators
0
1
1
1
0
1
0
1
A&n= bsp; OR  B
A&n= bsp; AND  B
A&= nbsp; NOT  B
A
B
0
0
0
1
0
1
0
1
A
B
0
0
1
0
0
1
0
1
A
B
1
0
0
1
B
NOT=   B
(= =3D A  AND NOT  B)
Start 1:45
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Boolean View of a Collection
quick
brown
fox
over
lazy
dog
back
now
time
all
good
men
come
jump
aid
their
party
0
0
1
1
0
0
0
0
0
1
0
0
1
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
1
0
0
0
0
1
Term
Doc 1
Doc 2
0
0
1
1
0
1
1
0
1
1
0
0
1
0
1
0
0
1
1
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
Doc 3
Doc 4
0
0
0
1
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
0
1
0
1
0
0
1
Doc 5
Doc 6
0
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
0
1
0
0
0
1
0
0
1
0
0
1
1
1
1
0
0
0
Doc 7
Doc 8
Each column represents the view of a particular document: What term= s are contained in this document?<= /span>
Each row represents the view of a particular term: What documents = contain this term?=
To execute a query, pick out rows corresponding to query terms and= then apply logic table of corresponding Boolean operator
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Sample Queries
fox
dog
0
0
0
0
1
1
0
0
1
1
0
0
0
1
0
0
Term
Doc 1
Doc 2
Doc 3
Doc 4
Doc 5
Doc 6
Doc 7
Doc 8
dog Ù fox
0
0
1
0
1
0
0
0
dog Ú fox
0
0
1
0
1
0
1
0
dog Ø fox
0
0
0
0
0
0
0
0
fox Ø dog
0
0
0
0
0
0
1
0
dog AND fox ® Doc 3, Doc 5
dog OR fox ® Doc 3, Doc 5, Doc 7
dog NOT fox ® empty
fox NOT dog ® Doc 7
good
party
0
0
1
0
0
0
1
0
0
0
1
1
0
0
1
1
g Ù p
0
0
0
0
0
1
0
1
g Ù p Ø o
0
0
0
0
0
1
0
0
good AND party ® Doc 6, Doc 8
over
1
0
1
0
1
0
1
1
good AND party NOT over ® Doc 6
Term
3D"Text
Doc 1
3D"Text
Doc 2
3D"Text
Doc 3
3D"Text
Doc 4
3D"Text
Doc 5
3D"Text
Doc 6
3D"Text=
Doc 7
3D"Text
Doc 8
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R0lGODlhEwAoAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYABwAH ABkAgAAAAAAAAAIgRBynwGmMXkPpwItzXrNbSWkiVJEm+JWjpqJg88FVVQAAOw== ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0165_image133.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhEwAoAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYABwAH ABkAgAAAAAAAAAIfDI6hCNbujoqs2ltN3DKlhYWT1zXkQ4XMWJop+E1TAQA7 ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0165_image134.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhEwAoAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYABwAH ABkAgAAAAAAAAAIgRGKIBtl7noyx2YvzVXaxDx6eRordGXYVqZnShK2PSBcAOx== ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0083.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Text Retrieval Issues
Why Boolean Retrieval Works
= 226;Boolean operators approximate natural language
&= #8211;Find documents about a good party that is not over
&#= 8226;AND can discover relationships between concepts
&= #8211;good party
= 226;OR can discover alternate terminology
&= #8211;excellent party
= 226;NOT can discover alternate meanings
&= #8211;Democratic party
Start 1:55
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Proximity Operators
&#= 8226;More precise versions of AND
&= #8211;“NEAR n” allows at most n-1 intervening terms
&= #8211;“WITH” requires terms to be adjacent and in order
» <= /div>
&#= 8226;Easy to implement, but less efficient
&= #8211;Store a list of positions for each word in each doc
&= #8226;Warning: stopwords become important!
&= #8211;Perform normal Boolean computations
&= #8226;Treat WITH and NEAR like AND with an extra constraint
Start 2:30 after the break
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Proximity Operator Example
= 226;time AND come
&= #8211;Doc 2
&#= 8226;time (NEAR 2) come
&= #8211;Empty
&#= 8226;quick (NEAR 2) fox
&= #8211;Doc 1
= 226;quick WITH fox
&= #8211;Empty
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=
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3D"Text
Doc 1
3D"Text
Doc 2
Start 2:35
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Other Extensions
&#= 8226;Ability to search on fields
&= #8211;Leverage document structure: title, headings, etc.
• <= /div>
&#= 8226;Wildcards
&= #8211;lov* =3D love, loving, loves, loved, etc.
• <= /div>
&#= 8226;Special treatment of dates, names, companies, etc.
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WESTLAW® Query Examples
•<= /span>What is the statute of limitations in cases involv= ing the federal tort claims act?
–<= /span>LIMIT! /3 STATUTE ACTION /S FEDERAL /2 TORT /3 CLAIM
–
•<= /span>What factors are important in determining what constitutes a vessel for purposes of determining liability of a vessel owner for injuries to a seaman under the “Jones Act” (46 USC 688)?= 3;
–<= /span>(741 +3 824) FACTOR ELEMENT STATUS FACT /P VESSEL = SHIP BOAT /P (46 +3 688) “= ;JONES ACT” /P INJUR! /S SEAMAN CREWMAN WORKER
–
•<= /span>Are there any cases which discuss negligent mainte= nance or failure to maintain aids to navigation such as lights, buoys, or channel markers?
–<= /span>NOT NEGLECT! FAIL! NEGLIG! /5 MAINT! REPAIR! /P NA= VIGAT! /5 AID EQUIP! LIGHT BUOY “CHANNEL MARKER”
–
•<= /span>What cases have discussed the concept of excusable= delay in the application of statut= es of limitations or the doctrine of laches involving actions in admiralty or = under the “Jones Act” or the “De= ath on the High Seas Act”?
–EXCUS! /3 DELAY /P (LIMIT! /3 STATUTE ACTION) LACH= ES /P “JONES ACT= 221; “DEATH ON THE HIGH SEAS ACT” (46 +3 761)
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An “Inverted Index”
quick
brown
fox
over
lazy
dog
back
now
time
all
good
men
come
jump
aid
their
party
0
0
1
1
0
0
0
0
0
1
0
0
1
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
1
0
0
0
0
1
Term
3D"Text
Doc 1
3D"Text
Doc 2
0
0
1
1
0
1
1
0
1
1
0
0
1
0
1
0
0
1
1
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
3D"Text
Doc 3
3D"Text
Doc 4
0
0
0
1
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
1
0
0
0
1
0
1
0
0
1
3D"Text
Doc 5
3D"Text
Doc 6
0
0
1
1
0
0
1
0
0
1
0
0
1
0
0
1
0
1
0
0
0
1
0
0
1
0
0
1
1
1
1
0
0
0
3D"Text
Doc 7
3D"Text
Doc 8
A
B
C
F
D
G
J
L
M
N
O
P
Q
T
AI
AL
BA
BR
TH
TI
4, 8
2, 4, 6
1, 3, 7
1, 3, 5, 7
2, 4, 6, 8
3, 5
3, 5, 7
2, 4, 6, 8
3
1, 3, 5, 7
2, 4, 8
2, 6, 8
1, 3, 5, 7, 8
6, 8
1, 3
1, 5, 7
2, 4, 6
Postings
Term Index
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Content-Type: image/gif R0lGODlhQQAQAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA/ AA4AgAAAAAAAAAIyjI+py+0Nopy02otzNbr7r3HgSHZiiabRqbYg68YZLNcUbed4Xu987Pu1gsLU 44hMJgsAOw== ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0370_image332.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhQQAQAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA/ AA4AgAAAAAAAAAIyjI+py+0Nopy02otzNbr7r3HgSHZiiabRqbYg68YZLNcUbed4Xu987Pu1gsLU 44hMJgsAOw== ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0240.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Text Retrieval Issues
Saving Space
= 226;Can we make this data structure smaller, keeping in mind the need = for fast retrieval?
&#= 8226;Observations:
R= 11;The nature of the search problem requires us to quickly find which docume= nts contain a term
&= #8211;The term-document matrix is very sparse
&= #8211;Some terms are more useful than others
•
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What Actually Gets Stored
quick
brown
fox
over
lazy
dog
back
now
time
all
good
men
come
jump
aid
their
party
Term
A
B
C
F
D
G
J
L
M
N
O
P
Q
T
AI
AL
BA
BR
TH
TI
4, 8
2, 4, 6
1, 3, 7
1, 3, 5, 7
2, 4, 6, 8
3, 5
3, 5, 7
2, 4, 6, 8
3
1, 3, 5, 7
2, 4, 8
2, 6, 8
1, 3, 5, 7, 8
6, 8
1, 3
1, 5, 7
2, 4, 6
Postings
Term Index
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Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Text Retrieval Issues
Deconstructing the Inverted Index
quick
brown
fox
over
lazy
dog
back
now
time
all
good
men
come
jump
aid
their
party
Postings File
1, 3
1, 3, 5, 7
3, 5, 7
1, 3, 5, 7, 8
1, 3, 5, 7
3, 5
1, 3, 7
2, 6, 8
2, 4, 6
2, 4, 6
2, 4, 6, 8
2, 4, 8
2, 4, 6, 8
3
4, 8
1, 5, 7
6, 8
The term Index
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Term Index Size
&#= 8226;Heap’s Law tells us about vocabulary size
• <= /div>
• <= /div>
• <= /div>
–When adding new documents, the system is likely to have seen terms already
&= #8211;Usually fits in RAM
&#= 8226;But the postings file keeps growing!
–
V is vocabulary size = ;
n is corpus size (number= of documents)
K and b are constants
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jambala= ya
kingdom=
tax
complex=
respond= ent
arcade<= /span>
peace
loiter<= /span>
wingman=
cadence=
daffodi= l
subterf= uge
bellige= rent
zebra
astrono= mical
relaxat= ion
Linear Dictionary Lookup
<= span style=3D'visibility:hidden'>•
•How long does this take, in the worst case?
<= span class=3DHBB style=3D'position:absolute;left:-6.92%'>•Running = time is proportional to number of entries in the dictionary
<= span class=3DHBB style=3D'position:absolute;left:-7.78%'>•This alg= orithm is O(n)
=3D linear time algorithm
<= span style=3D'visibility:hidden'>•
Suppose we want to find the word “complex”
Found it!
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With a Sorted Dictionary
<= span style=3D'visibility:hidden'>•
•How long does this take, in the worst case?
<= span style=3D'visibility:hidden'>•
zebra
wingman=
tax
subterf= uge
respond= ent
relaxat= ion
peace
loiter<= /span>
kingdom=
jambala= ya
daffodi= l
complex=
cadence=
bellige= rent
astrono= mical
arcade<= /span>
Let’s try again, except this time with a sorted dictionary: find “complex”
Found it!
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Which is Faster?
&#= 8226;Two algorithms:
&= #8211;O(n): Sequentially “search”
&= #8211;O(log n): Binary “search”
• <= /div>
&#= 8226;Big-O notation
–Allows us to compare different algorithms on very large collecti= ons
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Computational Complexity
&#= 8226;Time complexity: how long will it take …
&= #8211;At index-creation time?
&= #8211;At query time?
&#= 8226;Space complexity: how much memory is needed …
&= #8211;In RAM?
&= #8211;On disk?
= 226;Things you need to know to assess complexity:
&= #8211;What  is the “size” of the = input? (“n”)
&= #8211;What are the internal data structures?
&= #8211;What is the algorithm?
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Complexity for Small n
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“Asymptotic” Complexity<= /div>
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Building a Term Index
•<= /span>Simplest solution is a single sorted array
–<= /span>Fast lookup using binary search =
–<= /span>But sorting is expensive [it’s O(n * log n)]=
•<= /span>And adding one document means starting over
–
•<= /span>Tree structures allow easy insertion
–<= /span>But the worst case lookup time is O(n) =
–
•<= /span>Balanced trees provide the best of both
–<= /span>Fast lookup [O (log n) and easy insertion [O(log n)]
–<= /span>But they require 45% more disk space=
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Starting a B+ Tree Term Index
now
time
good
all
aaaaa
now
Now is the time for all good …= ;
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Adding a New Term
now
time
good
all
aaaaa
now
Now is the time for all good men …
aaaaa
men
men
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What’s in the Postings File?
&#= 8226;Boolean retrieval
&= #8211;Just the document number
– <= /div>
&#= 8226;Proximity operators
&= #8211;Word offsets for each occurrence of the term
&= #8226;Example: Doc 3 (t17, t36), Doc 13 (t3, t45)
»
&#= 8226;Ranked Retrieval
&= #8211;Document number and term weight
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How Big Is a Raw Postings File?
•Very compact for Boole= an retrieval
–About 10% of the size = of the documents
•If an aggressive stopw= ord list is used!
–<= /span>
•Not much larger for ra= nked retrieval
–Perhaps 20%
–<= /span>
•Enormous for proximity operators
–Sometimes larger than = the documents!
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Large Postings Files are Slow
&#= 8226;RAM
&= #8211;Typical size: 1 GB
&= #8211;Typical access speed: 50 ns
&#= 8226;Hard drive:
&= #8211;Typical size: 80 GB (my laptop)
&= #8211;Typical access speed: 10 ms
&#= 8226;Hard drive is 200,000x slower than RAM!
• <= /div>
&#= 8226;Discussion question:
&= #8211;How does stopword removal improve speed?
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Zipf’s Law
•George Kingsley Zipf (1902-1950) observed that for many frequency distribution= s, the nth most frequent event is related to its frequency= in the following manner:
or
f =3D frequency
r =3D rank
c =3D constant
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Zipfian Distribution: The “L= ong Tail”
•A few elements occur very frequently&#= 13;
•Many elements occur very infrequently<= /span>
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Some Zipfian Distributions
•Library b= ook checkout patterns
•Website popularity
•Incoming = Web page requests
•Outgoing = Web page requests
•Document = size on Web
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Word Frequency in English
Frequency of 50 most co= mmon words in English
(sample of 19 million words)
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Demonstrating Zipf’s Law
The following shows rf*1000/n
         r  is the rank of word w in the sample
         f  is the frequency of wor= d w in the sample
         n is the total number of word occurrences in the sample&= #13;
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Index Compression
•CPU’s are much faster than disks
–A disk can transfer 1,= 000 bytes in ~20 ms
–The CPU can do ~10 mil= lion instructions in that time
–
•Compressing the postin= gs file is a big win
–Trade decompression time for fewer disk reads
»<= /span>
•Key idea: reduce redundancy
–Trick 1: store relative offsets (some will be the same)
–Trick 2: use an optimal coding scheme
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Compression Example
= 226;Postings (one byte each =3D 7 bytes =3D 56 bits)
&= #8211;37, 42, 43, 48, 97, 98, 243
&#= 8226;Difference
&= #8211;37, 5, 1, 5, 49, 1, 145
&#= 8226;Optimal (variable length) Huffman Code
&= #8211;0:1, 10:5, 110:37, 1110:49, 1111: 145
&#= 8226;Compressed (17 bits)
&= #8211;11010010111001111
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Remember This?
fox
dog
0
0
0
0
1
1
0
0
1
1
0
0
0
1
0
0
Term
Doc 1
Doc 2
Doc 3
Doc 4
Doc 5
Doc 6
Doc 7
Doc 8
dog Ù fox
0
0
1
0
1
0
0
0
dog Ú fox
0
0
1
0
1
0
1
0
dog Ø fox
0
0
0
0
0
0
0
0
fox Ø dog
0
0
0
0
0
0
1
0
dog AND fox ® Doc 3, Doc 5
dog OR fox ® Doc 3, Doc 5, Doc 7
dog NOT fox ® empty
fox NOT dog ® Doc 7
good
party
0
0
1
0
0
0
1
0
0
0
1
1
0
0
1
1
g Ù p
0
0
0
0
0
1
0
1
g Ù p Ø o
0
0
0
0
0
1
0
0
good AND party ® Doc 6, Doc 8
over
1
0
1
0
1
0
1
1
good AND party NOT over ® Doc 6
Term
3D"Text
Doc 1
3D"Text
Doc 2
3D"Text
Doc 3
3D"Text
Doc 4
3D"Text
Doc 5
3D"Text
Doc 6
3D"Text=
Doc 7
3D"Text
Doc 8
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Indexing-Time, Query-Time
•Indexing
–Walk the term index, splitting if needed
–Insert into the postin= gs file in sorted order
–Hours or days for large collections
–<= /span>
•Query processing <= /span>
–Walk the term index for each query term
–Read the postings file= for that term from disk
–Compute search results from posting file entries
–Seconds, even for enor= mous collections
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Summary
&#= 8226;Slow indexing yields fast query processing
&= #8211;Key fact: most terms don’t appear in most documents
–
&#= 8226;We use extra disk space to save query time
&= #8211;Index space is in addition to document space
&= #8211;Time and space complexity must be balanced
» <= /div>
&#= 8226;Disk block reads are the critical resource
&= #8211;This makes index compression a big win
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Agenda
•<= /span>Character sets
•Terms as = units of meaning
•Building = an index
ØProject overview
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Project Options
&#= 8226;Instructor-designed project
&= #8211;Team of ~6: design, implementation, evaluation
&= #8211;Data is in hand, broad goals are outlined
&= #8211;Fixed “deliverable” schedule
»
&#= 8226;Roll-your-own project
&= #8211;Individual, or group of any (reasonable) size
&= #8211;Pick your own topic and deliverables
&= #8211;Requires my approval (start discussion by Sep 27)
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State Department Cables
791,857 records – 550,983 of which are full text
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------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/slide0386.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Text Retrieval Issues
Some Questions User’s May Ask<= /div>
•Who are t= hose people?
•What is already known about the events that they are talking about?&#= 13;
•Are there= other messages about this?
•Is there any way to do one search across this whole collection?
<= span class=3DBB style=3D'position:absolute;left:-4.0%'>•What do the “tags” on each message mean?
•Can I be confident that if I didn’t find something it is really not there?
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Some Ideas
= 226;Index the dates, people, organizations, full text, and tags separately
&= #8211;Lucene would be a natural choice for this
= 226;Try sliders for time, social network depictions for people, maps for organizations, pull down lists for tags, … =
R= 26;Provide a “more like this” capability based on any subset of that evidence
= 226;Refine your design based on automatic testing (for accuracy) and user testing (for usability)
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Deliverables
•Functiona= l design (Oct 22)
•Batch eva= luation design (Nov 5)
•User eval= uation design (Nov 12)
•Relevance judgments (Nov 26)
•Batch eva= luation results  (Dec 3) <= /div>
•(in-class presentation) (Dec 10)
<= span class=3DBB style=3D'position:absolute;left:-3.97%'>•Project r= eport [w/user eval results] (Dec 14)
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Don’t forget the homework due next week!
Before You Go!
•   On a sheet of paper, please briefly answer the following question (no names):
•
•   What was the muddiest point= in today’s lecture?
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Click to edit Master text styles
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Why is a consistent order needed?
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Stopword lists eliminate terms  that only convey meaning through word order
Observations:
No need to keep a position for terms that never occur
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application/javascript; charset="us-ascii" function LoadSld() { var sld=3DGetObj("SlideObj") if( !g_supportsPPTHTML ) { =09 sld.style.visibility=3D"visible" return } if( MakeNotesVis() ) return runAnimations =3D _InitAnimations(); =09 if( IsWin("PPTSld") ) parent.SldUpdated(GetSldId()) g_origSz=3DparseInt(SlideObj.style.fontSize) g_origH=3Dsld.style.posHeight g_origW=3Dsld.style.posWidth g_scaleHyperlinks=3D(document.all.tags("AREA").length>0) if( g_scaleHyperlinks ) InitHLinkArray() if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) ) document.body.scroll=3D"no" _RSW() if( IsWin("PPTSld") && parent.IsFullScrMode() ) FullScrInit(); =09 MakeSldVis(); ChkAutoAdv() if( runAnimations ) { if( document.all("NSPlay") ) document.all("NSPlay").autoStart =3D false; if( sld.filters && sld.filters.revealtrans ) setTimeout( "document.body.start()", sld.filters.revealtrans.duration * = 1000 ); else document.body.start(); } } function MakeSldVis()=20 { var fTrans=3Dg_showAnimation && SldHasTrans() if( fTrans )=09 { if( g_bgSound ) { idx=3Dg_bgSound.indexOf(","); pptSound.src=3Dg_bgSound.substr( 0, idx ); pptSound.loop=3D -(parseInt(g_bgSound.substr(idx+1))); } SlideObj.filters.revealtrans.Apply()=09 } SlideObj.style.visibility=3D"visible" if( fTrans ) SlideObj.filters.revealtrans.Play() } function MakeNotesVis()=20 { if( !IsNts() ) return false=20 SlideObj.style.display=3D"none" nObj =3D document.all.item("NotesObj") parent.SetHasNts(0) if( nObj ) {=20 nObj.style.display=3D"" parent.SetHasNts(1) } return 1 } function ChkAutoAdv() { if(SldHasTrans()) SlideObj.onfilterchange=3DAutoAdv else AutoAdv() } function AutoAdv() { if(!IsWin("PPTSld") || !gUseSldTimings )return var sld=3DGetCurSld() if( (sld.mAdvDelay>0) && !parent.IsFramesMode() ) setTimeout("parent.GoToNextSld()",sld.mAdvDelay) } function GetObj(id) { if(g_supportsPPTHTML) return document.all(id); else return document.getElementById(id); } function SldHasTrans() { return SlideObj.style.filter !=3D ""; } function GetSldId() { return sId=3Dlocation.href.substring(location.href.la= stIndexOf('/')+1) } function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctx= tmenu") && PPTSld.ctxtmenu.style.display!=3D"none" ) { PPTSld.ctxtmenu.styl= e.display=3D'none'; return true } return false } function IsWin( name ) { return window.name =3D=3D name } function IsNts() { return IsWin("PPTNts") } function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) } function SupportsPPTAnimation() { return( navigator.platform =3D=3D "Win32"= && navigator.appVersion.indexOf("Windows")>0 ) } function SupportsPPTHTML() { var appVer=3Dnavigator.appVersion, msie=3DappVer.indexOf("MSIE "), ver=3D0 if( msie >=3D 0 ) ver=3DparseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) ) else ver=3DparseInt(appVer) return( ver >=3D 4 && msie >=3D 0 ) } function _RSW() { if( !g_supportsPPTHTML || IsNts() || ( !g_scaleInFrame && (!IsWin("PPTSld") || !parent.IsFullScrMode()) ) ) return var padding=3D0; if( IsWin("PPTSld") && parent.IsFramesMode() ) padding=3D6 cltWidth=3Ddocument.body.clientWidth-padding cltHeight=3Ddocument.body.clientHeight-padding factor=3D(1.0*cltWidth)/g_origW if( cltHeight < g_origH*factor ) factor=3D(1.0*cltHeight)/g_origH newSize =3D g_origSz * factor if( newSize < 1 ) newSize=3D1 s=3DSlideObj.style s.fontSize=3DnewSize+"px" s.posWidth=3Dg_origW*factor s.posHeight=3Dg_origH*factor s.posLeft=3D(cltWidth-s.posWidth+padding)/2 s.posTop=3D(cltHeight-s.posHeight+padding)/2 if( g_scaleHyperlinks ) ScaleHyperlinks( factor ) } function _InitAnimations() { animRuntimeInstalled =3D ''+document.body.localTime !=3D 'undefined'; isFullScreen =3D (window.name =3D=3D "PPTSld") && !parent.IsFramesMode(); g_animUseRuntime =3D g_showAnimation && animRuntimeInstalled && !(isFullSc= reen && parent.IsSldVisited()); if( g_animUseRuntime ) { collSeq =3D document.all.tags("seq"); if( collSeq !=3D null ) { for(ii=3D0;ii numSlds ) gSldJumpIdx =3D numSlds; if ( gSldJumpIdx >=3D 0 ) { if ( gSldJumpIdx =3D=3D 0 ) gSldJumpIdx =3D 1; var jumpTo =3D parseInt(gSldJumpIdx); gSldJump =3D 0; gSldJumpIdx =3D ""; win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref ) } } } function _KDH() { if( event.keyCode =3D=3D 8 ) { event.returnValue =3D 0; parent.GoToPrevSld(); } }function DocumentOnClick() { if( IsNts() || parent.HideMenu() ) return; if( ( g_allowAdvOnClick && (window.name=3D=3D"PPTSld") && !parent.IsFrames= Mode() ) || (event && event.keyCode=3D=3D32) ) { =09 if( g_animUseRuntime && g_animMainSequence && g_animMainSequence.cangonex= t ) return; parent.GoToNextSld(); } } var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""= , g_bgSound=3D"", g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser = =3D 0, gLoopCont =3D 0, gUseSldTimings =3D 0; var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w= indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va= r g_animManager =3D null; var g_animUseRuntime =3D false; var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime; var g_animMainSequence =3D null; var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram= es", gIsEndShow=3D0, NUM_VIS_SLDS=3D88, SCRIPT_HREF=3D"script.js", FULLSCR_= HREF=3D"fullscreen.htm"; var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO= tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true window.gPPTHTML=3DSupportsPPTHTML() var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(= "slide0346.htm",1,-1,1),new hrefList("slide0066.htm",1,-1,1),new hrefList("= slide0039.htm",1,-1,1),new hrefList("slide0007.htm",1,-1,1),new hrefList("s= lide0038.htm",1,-1,1),new hrefList("slide0008.htm",1,-1,1),new hrefList("sl= ide0009.htm",1,-1,1),new hrefList("slide0010.htm",1,-1,1),new hrefList("sli= de0011.htm",1,-1,1),new hrefList("slide0012.htm",1,-1,1),new hrefList("slid= e0343.htm",1,-1,1),new hrefList("slide0067.htm",1,-1,1),new hrefList("slide= 0015.htm",1,-1,1),new hrefList("slide0041.htm",1,-1,1),new hrefList("slide0= 042.htm",1,-1,1),new hrefList("slide0043.htm",1,-1,1),new hrefList("slide00= 16.htm",1,-1,1),new hrefList("slide0017.htm",1,-1,1),new hrefList("slide003= 0.htm",1,-1,1),new hrefList("slide0040.htm",1,-1,1),new hrefList("slide0023= .htm",1,-1,1),new hrefList("slide0024.htm",1,-1,1),new hrefList("slide0025.= htm",1,-1,1),new hrefList("slide0026.htm",1,-1,1),new hrefList("slide0022.h= tm",1,-1,1),new hrefList("slide0019.htm",1,-1,1),new hrefList("slide0020.ht= m",1,-1,1),new hrefList("slide0050.htm",1,-1,1),new hrefList("slide0045.htm= ",1,-1,1),new hrefList("slide0037.htm",1,-1,1),new hrefList("slide0344.htm"= ,1,-1,1),new hrefList("slide0027.htm",1,-1,1),new hrefList("slide0068.htm",= 1,-1,1),new hrefList("slide0071.htm",1,-1,1),new hrefList("slide0345.htm",1= ,-1,1),new hrefList("slide0363.htm",1,-1,1),new hrefList("slide0362.htm",1,= -1,1),new hrefList("slide0347.htm",1,-1,1),new hrefList("slide0156.htm",1,-= 1,1),new hrefList("slide0078.htm",1,-1,1),new hrefList("slide0158.htm",1,-1= ,1),new hrefList("slide0079.htm",1,-1,1),new hrefList("slide0080.htm",1,-1,= 1),new hrefList("slide0162.htm",1,-1,1),new hrefList("slide0081.htm",1,-1,1= ),new hrefList("slide0164.htm",1,-1,1),new hrefList("slide0165.htm",1,-1,1)= ,new hrefList("slide0083.htm",1,-1,1),new hrefList("slide0086.htm",1,-1,1),= new hrefList("slide0087.htm",1,-1,1),new hrefList("slide0168.htm",1,-1,1),n= ew hrefList("slide0169.htm",1,-1,1),new hrefList("slide0370.htm",1,-1,1),ne= w hrefList("slide0240.htm",1,-1,1),new hrefList("slide0371.htm",1,-1,1),new= hrefList("slide0257.htm",1,-1,1),new hrefList("slide0254.htm",1,-1,1),new = hrefList("slide0261.htm",1,-1,1),new hrefList("slide0262.htm",1,-1,1),new h= refList("slide0264.htm",1,-1,1),new hrefList("slide0365.htm",1,-1,1),new hr= efList("slide0269.htm",1,-1,1),new hrefList("slide0270.htm",1,-1,1),new hre= fList("slide0374.htm",1,-1,1),new hrefList("slide0375.htm",1,-1,1),new href= List("slide0376.htm",1,-1,1),new hrefList("slide0372.htm",1,-1,1),new hrefL= ist("slide0373.htm",1,-1,1),new hrefList("slide0241.htm",1,-1,1),new hrefLi= st("slide0247.htm",1,-1,1),new hrefList("slide0248.htm",1,-1,1),new hrefLis= t("slide0253.htm",1,-1,1),new hrefList("slide0250.htm",1,-1,1),new hrefList= ("slide0251.htm",1,-1,1),new hrefList("slide0378.htm",1,-1,1),new hrefList(= "slide0379.htm",1,-1,1),new hrefList("slide0390.htm",1,-1,1),new hrefList("= slide0380.htm",1,-1,1),new hrefList("slide0381.htm",1,-1,1),new hrefList("s= lide0389.htm",1,-1,1),new hrefList("slide0382.htm",1,-1,1),new hrefList("sl= ide0384.htm",1,-1,1),new hrefList("slide0385.htm",1,-1,1),new hrefList("sli= de0386.htm",1,-1,1),new hrefList("slide0387.htm",1,-1,1),new hrefList("slid= e0388.htm",1,-1,1),new hrefList("slide0111.htm",1,-1,1)); /********************************************* Frameset functions These functions control slide navigation and state of the frameset. **********************************************/ function FullScrInit() { g_allowAdvOnClick =3D GetCurSld().mAdvOnClk document.body.style.backgroundColor=3D"black" document.oncontextmenu=3Dparent._CM; document.onkeydown =3D _KDH; document.ondragstart=3DCancel document.onselectstart=3DCancel self.focus() } function Redirect( frmId ) {=09 var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId() if(idx>=3D0) str=3Dstr.substr(1); if( window.name !=3D frmId && ( sId !=3D str) ) { obj =3D GetObj("Main-File") window.location.href=3Dobj.href+"#"+sId return 1 } return 0 } var MHTMLPrefix =3D CalculateMHTMLPrefix();=20 function CalculateMHTMLPrefix() { if ( document.location.protocol =3D=3D 'mhtml:') {=20 href=3Dnew String(document.location.href)=20 Start=3Dhref.indexOf('!')+1=20 End=3Dhref.lastIndexOf('/')+1=20 if (End < Start)=20 return href.substring(0, Start)=20 else=20 return href.substring(0, End)=20 } return ''; } function GetTags(base,tag) { if(g_supportsPPTHTML) return base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('


' + ENDSHOW_MESG + '

') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr= row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() } function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();= PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() } function M_True() { return true } function M_End() { window.close( self ) } function CreateMenuItem( node,text,action,eval ) { var e=3DCreateItem( node ) e.type=3D"menuitem" e.Action=3Daction e.IsActive=3Deval e.innerHTML=3Dtext if( !e.IsActive() ) e.style.color=3D"threedshadow" e.onclick=3DPerform e.onmouseover=3DHighlight e.onmouseout=3DDeselect s=3De.style; 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charset="us-ascii" Text Retrieval Issues ------=_NextPart_01C7F873.5FA0CE10 Content-Location: file:///C:/B278E2A1/796f072a_files/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 No= tes
Slide Show
Outline
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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