| Yejin Choi | :: NLP Lab :: |
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Office Hours for Fall 2011:
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Tue/Thu 5:10pm - 6:10pm
Teaching:
Prospective Students:
Research Interest:
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Statistical approaches and computational models for Natural Language Processing (NLP) and Computational Linguistics.
Interdisciplinary research connecting Natural Language Processing with Computer Vision, Psychology, and Cognitive Science.
Below listed are a few themes that intertwine my research so far, and
click here for more detailed description.
- Natural Language Generation from Images
With Prof. Tamara Berg and Alex Berg, we are investigating how to compose natural language descriptions from images [KPDLCBB11, LKBBC11].
- Opinion & Sentiment Analysis
(1) Lexicon Induction and Adaptation for Sentiment Analysis [CC09, FBC11].
(2) Analysis in light of Compositional Semantics [CC08, CFGJMP10].
(3) Fine-Grained Opinion Analysis [CC10, BCC07, CBC06, CCRP05].
Some of above work been employed by Appinions (appinions.com), a start-up company co-founded by Prof. Claire Cardie.
- Stylometric Analysis
Language is a window into people's minds, and stylometric analysis can be used as a tool for understanding the intent of individual writers, as well as societal characteristics reflected in human language. So far we have looked at gender attribution [SGC11], deceptive opinion spam detection [OCCH11], and Wikipedia vandalism detection [HHSJC11]. - Opinion & Sentiment Analysis
Publications:
- Recent Papers:
2011
Learning General Connotation of Words using Graph-based Algorithms.
Song Feng, Ritwik Bose, and Yejin Choi.
Empirical Methods in Natural Language Processing (EMNLP), 2011.
Domain Independent Authorship Attribution without Domain Adaptation.
Rohith Menon and Yejin Choi.
Recent Advances in Natural Language Processing (RANLP), 2011.
Composing Simple Image Descriptions using Web-scale N-grams.
Siming Li, Girish Kulkarni, Tamara Berg, Alex Berg and Yejin Choi.
Computational Natural Language Learning (CoNLL), 2011.
Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre.
Ruchita Sarawgi, Kailash Gajulapalli and Yejin Choi.
Computational Natural Language Learning (CoNLL), 2011.
Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis.
Manoj Harpalani, Michael Hart, Sandesh Singh, Rob Johnson and Yejin Choi.
Association for Computational Linguistics (ACL), 2011. short paper
Finding Deceptive Opinion Spam by Any Stretch of the Imagination.
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey Hancock.
Association for Computational Linguistics (ACL), 2011.
Baby Talk: Understanding and Generating Image Descriptions.
Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, and Tamara Berg.
Computer Vision and Pattern Recognition (CVPR), 2011
- Complete list of publications:
By Year
By Topic
- Complete list of publications:
Students:
- Advisees in PhD:
Ritwik Banerjee
Song Feng
- Other Student Co-authors at Stony Brook:
PhD : Ritwik Bose, Michael Hart (Symantec Research Lab), Siming Li
MS : Sagnik Dhar, Kailash Gajulapalli, Girish Kulkarni, Manoj Harpalani (Amazon), Rohith Menon, Visruth Premraj, Ruchita Sarawgi (Bank of America), Sandesh Singh - Other Student Co-authors at Stony Brook: