Hall emnlp2008

From Cohen Courses
Revision as of 15:54, 1 April 2011 by Dyogatam (talk | contribs)
Jump to navigationJump to search

Paper

  • Title : Studying the History of Ideas Using Topic Models
  • Authors : D. Hall, D. Jurafsky, and C. D. Manning
  • Venue : EMNLP 2008

Summary

This paper uses topic models to study the development of ideas over time for papers in computational linguistics conferences (ACL, COOLING, EMNLP, etc.)

Dataset

ACL Anthology (~12,500 papers)

Model

LDA with post hoc analysis to calculate observed probability of topics in the current year I is the indication function, t_d is the date document d was published, p(d|y) is a constant 1/C

Experiments

  • Ran 100 topics LDA, took relevant 36 topics.
  • Seeded words for 10 more topics to improve coverage.
  • Used these 36+10 topics as priors for new 100-topics run.
  • Picked 43 topics and manually labeled them.

Results

  • Trending topics in the CL community

Halltrend.png

  • Declining topics in the CL community

Halltdecline.png

  • NLP applications

They investigated whether CL is becoming more applied over time.
They explored six applicatons : Machine Translation, Spelling Correction, Dialogue Systems, Call Routing, Speech Recognition, and Biomedical
Hallapp.png

  • ACL vs COLING vs EMNLP

File:Hallacl.png