Jordan Boyd-Graber

Jordan Boyd-Graber
3155 AVW
Computer Science
jbg@boydgraber.org

Natural Language Processing (CMSC 470)

Logistics

Location	Iribe 2207
Time	Mon./Wed. 17:00pm - 18:15pm
Webpage	http://umiacs.umd.edu/~jbg/teaching/CMSC_470/
Mailing List	http://piazza.com/umd/spring2019/cmsc470
Text	Speech and Natural Language Processing
Syllabus	https://docs.google.com/document/d/1UN3qlJttJFRXP4qtoIriZxHjYQflvsUNsulHLIFVTzQ/edit?usp=sharing

People

Professor

Jordan Boyd-Graber
AVW 3153
Office Hours (AVW 3155): Starting Feb. 4, Mondays 15:00 - 16:00 and by appointment

Teaching Assistant

Pranav Goel: AVW 4103, Thursday 16:00-17:00, Friday 15:00-16:00

Schedule

Date	In-Class Topic	Assignment Due	Lecture
Mon 28. January	Introduction to the course, Probability, and Python		[Video: A B] [PDF: A B]
	Optional Readings: Python (and programming) introductory course You may also want to look at first couple of weeks (through February) of INST 414 as review. A probability primer (Optional, if you want more detail) Grinstead and Snell, Chapters 1-2, Chapter 4.1 How the statistical revolution changes (computational) linguistics On the deep learning revolution in NLP
Wed 30. Jan	Information Retrieval / tf-idf		[Video: A B C] [PDF: A B C D]
	Readings: IR Chapter 1, 6
Mon 4. Feb	Logistic Regression and Naive Bayes		[PDF A B C] [Video A B]
	Readings: SNLP Chapter 5.1-5.3
Wed 6. Feb	Homework Lab
Fri 8. Feb	Homework Due	tf-idf
Mon 11. Feb	Project Framework / Codalab		[Video: A B C] [PDF: A B C]
	Readings: QANTA.org
Wed 13. Feb	Stochastic Gradient Descent		[PDF A B] [Video A]
	Readings: SNLP Chapter 5.4-5.9
Fri 15. Feb	Homework Due	NN Question Answering
Mon 18. Feb	Neural Networks for Language		[Video: Deep Backprop Frameworks Pytorch DAN] [PDF: A B C D E F]
	Readings: SNLP 7
Wed 20. Feb	Distributional Semantics (Word2Vec)		[Video: A B C] [PDF: A B C D]
	Readings: SNLP Chapter 6
Mon 24. Feb	Expo Match I (Students)
	Readings: Tutorial Tons of NLP Models
Wed 26. Feb	Classification and Feature Engineering
Fri 1. Mar	Homework Due	Logistic Regression
	Readings: SNLP 4
Mon 4. Mar	Homework Lab
Wed 6. Mar	Neural Sequence Models
	Readings: SNLP 9
Fri 8. Mar	Homework Due	Deep Averaging Networks
Mon 11. Mar	Midterm Review
Wed 13. Mar	Midterm
Mon 25. Mar	Question Answering
	Readings: SNLP 23
Wed 27. Mar	Homework Lab
Fri 29. Mar	HW Due	Sequence Buzzer
Mon 1. Apr	Expo Match II (Faculty)
Wed 2. Apr	Homework Lab
Fri 5. Apr	Homework Due	Machine Reading
Mon 8. Apr	No Class: Meet to Discuss Project
Wed 10. Apr	Named Entities and Coreference
Fri 12. Apr	Homework Due	Project Proposal Due
Mon 15. Apr	Topic Models
Wed 17. Apr	Machine Translation		[Video: Word-Based Phrase Neural] [PDF: Word Phrase Neural Ex]
Mon 22. Apr	Parsing
Wed 24. Apr	Project Workshop
Fri 26. Apr	Homework Due	First Deliverable
Mon 29. Apr	Linguistic Variation / Morphology
Wed 1. May	AMA
	Readings: The Seven Deadly Sins of AI Predictions How Computers Misunderstand the World
Mon 6. May	Midterm Review
Wed 8. May	Midterm II
Mon 13. May	Expo Match III (Surprise)
Mon 20. May 16:00-18:00	Final Presentations

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