Talks & Seminars
Title: Together We Can: Cooperative Natural Language Processing
Prof. Pushpak Bhattacharyya, Dept. of CSE, IIT Bombay
Date & Time: February 6, 2013 16:45
Venue: Room # SIC 301, C Block, 03rd floor, Department of Computer Science & Engineering, Kanwal Rekhi Building
NLP today is predominantly data driven. Machine learning applied to annotated language data is almost the norm for performing interesting and important NLP tasks at various level of complexity starting from part of speech (POS) tagging to semantic role labeling and sentiment analysis. Annotation, however, is usually an expensive proposition. In this presentation, we try to set up a case for resource shared multilingual computation with examples of language adaptation in NLP. We focus on word sense disambiguation (WSD), describing our work on “projection of parameters from one language to another” in three settings of “complete”, “some” and “no” annotation. This helps perform WSD with reduced language resources. The last scenario of “no annotation”, i.e, unsupervised setting, is tackled by an interesting expectation-maximization (EM) formulation. Besides resource reuse, language adapted NLP helps collate evidences from multiple languages for better performance, for example in search. Multilingual pseudo relevance feedback (PRF) has been shown to be better than monolingual PRF in our recent work. We will touch upon this. Finally, cross lingual techniques prove effective in resource reuse in NLP. We will end the presentation with discussion on progress we have made in Cross Lingual Sentiment Analysis. The presentation is based on work done with PhD and Masters students and researchers: Rajat, Mitesh, Salil, Manoj, Karthik, Bala, Aditya and many others, and published in fora like ACL, COLING, EMNLP, SIGIR and so on.
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