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Keynote Lecture

Natural Language Processing in Information Retrieval

by Thorsten Brants (Google Inc., USA)

Abstract
Typical information retrieval (IR) systems are based on the bag-of-words model and use little to no natural language processing (NLP). Stemming is regularly used, but applying syntactic and semantic processing to improve results significantly remains an extremely hard task. This talk aims at identifying promising ways of using NLP in IR, and at identifying IR tasks that are likely to benefit from NLP.

Plenary programme

You can consult the complete conference programme with these two links:

• the time schedule, with links to all abstracts
• the list of abstracts alphabetically sorted by author

Each plenary speaker gets 20 minutes: 15 minutes for his or her presentation and 5 minutes for questions and discussion.

:: download ::

You can download the abstracts and the time schedule in a nice format, ideal for printing:

• the time schedule: PostScript file (69kb) or PDF (66kb) file
• the abstracts: PostScript file (242kb) or PDF (222kb) file

Last update on by Bart Decadt.