Bayesian Methods for Natural Language Processing
Workshop at NIPS 2005
Organizers: Hal Daumé III and Yee Whye Teh

overview

call for participation

participants

survey

schedule

resources





nlp blog 		Survey

Anyone interested in NLP or Bayesian methods (not necessarily both!) is invited to fill out this survey. You needn't provide a name/affiliation/email address if you wish to be kept anonymous.

Identity:
Name:
Affiliation:
E-Mail:
For this sections, please answer only the parts that you feel apply to you (e.g., if you are an NLP person who knows nothing about Bayesian methods, skip questions that pertain only the Bayesians).

As an NLP person, why do you find NLP exciting?

As a Bayesian, why do you find Bayesian methods exciting?

Why do you think Bayesian techniques aren't more popular in NLP applications?

What new Bayesian techniques do you think would be necessary for you to start using them for NLP problems?

For what NLP applications do you believe Bayesian techniques are most appropriate? Why?

For what NLP applications do you believe Bayesian techniques are least appropriate? Why?

As an NLP person, what do you believe is the most compelling argument to get a Bayesian interested in your problems?

As a Bayesian, what do you believe is the most compelling argument to get the NLP community interested in your techniques?

What topics would you most like to see discussed at the workshop?

Any other comments?

Background:
Do you consider yourself:
An NLP person who knows little about Bayesian methods
An NLP person who knows about, but doesn't use Bayesian methods
An NLP person who occasionally uses Bayesian methods
An NLP person who exclusively uses Bayesian methods
A Bayesian only interested in NLP
A Bayesian who occasionally considers NLP problems
A Bayesian who occasionally considers language modeling/IR problems
A Bayesian who knows little about NLP/language modeling/IR
None of the above; specify:

With with conference do you most closely identify:
NIPS
ICML
COLT
UAI
ACL
COLING
SIGIR
KDD
CIKM
Eurospeech
ICASSP
Other:

If you work in NLP, please select the application area(s) that you are most interested in.
Speech recognition
Speech generation
Text summarization
Question Answering
Paraphasing
Phonology/Morphology
Language Modeling
Language Generation
Parsing
Discourse
Machine translation
Information retrieval
Lexicons and ontologies
Information extraction
Other:

If you work in machine learning/Bayesian methods, please select the topic(s) that you are most interested in.
Kernel methods
Classification
Supervised learning
Unsupervised learning
Graphical models
Bayesian methods
Approximate inference
Monte Carlo techniques
Manifold learning
Vision
Control and reinforcement learning
Learning theory
Multi-task learning
Ensemble methods
Structured prediction
Online learning
Multi-agent learning
Multimedia data
Other:

last updated seventeen august two thousand five
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