The Conference on Empirical Methods in Natural Language Processing (EMNLP '10) was recently held at the MIT Stata Center in Massachusetts. Natural Language Processing is at the core of many of the things that we do here at Google. Googlers have therefore been traditionally part of this research community, participating as program committee members, paper authors and attendees.
At this year's EMNLP conference Google Fellow, Amit Singhal gave an invited keynote talk on "Challenges in running a commercial search engine" where he highlighted some of the exciting opportunities, as well as challenges, that Google is currently facing. Furthermore, Terry Koo (who recently joined Google), David Sontag (former Google PhD Fellowship recipient) and their collaborators from MIT received the Fred Jelinek Best Paper Award for their innovative work on syntactic parsing with the title "Dual Decomposition for Parsing with Non-Projective Head Automata".
Here is a complete list of the papers presented by Googlers at the conference:
- Dual Decomposition for Parsing with Non-Projective Head Automata (Fred Jelinek Best Paper Award) by Terry Koo, Alexander M. Rush, Michael Collins, Tommi Jaakkola, and David Sontag
- "Poetic" Statistical Machine Translation: Rhyme and Meter (see also here) by Dmitriy Genzel, Jakob Uszkoreit, and Franz Och
- Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models by Amarnag Subramanya, Slav Petrov, and Fernando Pereira
- Uptraining for Accurate Deterministic Question Parsing by Slav Petrov, Pi-Chuan Chang, Michael Ringgaard, and Hiyan Alshawi
- Self-training with Products of Latent Variable Grammars by Zhongqiang Huang, Mary Harper, and Slav Petrov
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