All papers, subject order.
Subject headings: general-audience papers | sentiment analysis and social
networks and systems | lexical semantics and
distributional similarity | IR | generation | segmentation
| CFL's |
reviews and pedagogy
General audience
Sentiment analysis, with a recent focus on social networks and systems
-
How opinions are received by online communities: A case study on
Amazon.com helpfulness votes.
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinets, Jon
Kleinberg, and Lillian Lee.
Proceedings of WWW, pp. 141--150, 2009.
- Opinion mining and sentiment analysis.
Bo Pang and Lillian Lee.
Foundations and Trends in Information Retrieval 2(1-2),
pp. 1–135, July 2008.
A monograph surveying the field (note the singular).
- The power of negative thinking: Exploiting label disagreement in the min-cut classification framework.
Mohit Bansal, Claire Cardie, and Lillian Lee.
Proceedings
of COLING: Companion volume: Posters, pp. 13–16, 2008.
- Using very simple statistics for review search: An exploration.
Bo Pang and Lillian Lee.
Proceedings of COLING: Companion
Volume: Posters, pp. 73–76, 2008.
- Get out the vote: Determining support or opposition from
Congressional floor-debate transcripts.
Matt Thomas, Bo Pang, and Lillian Lee.
Proceedings of EMNLP, pp. 327–335, 2006.
- Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.
Bo Pang and Lillian Lee.
Proceedings of the ACL, pp. 115–124, 2005.
- A
sentimental education: Sentiment analysis using subjectivity
summarization based on minimum cuts.
Bo Pang and Lillian Lee.
Proceedings of the 42nd ACL, pp. 271–278, 2004.
- Thumbs up? Sentiment classification using machine learning techniques.
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan.
Proceedings of EMNLP 2002, pp. 79–86.
Lexical semantics
(Distributional similarity is a related topic).
Information retrieval
- IDF revisited: A simple new derivation within the Robertson-Spärck
Jones probabilistic model.
Lillian Lee.
Procedings of
SIGIR, pp. 751–752, 2007. Poster paper.
- Respect my authority! HITS without hyperlinks, utilizing
cluster-based language models.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR, pp. 83–90, 2006.
- PageRank
without hyperlinks: Structural re-ranking using links induced by language models.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR, pp. 306–313, 2005.
- Better than the real thing? Iterative pseudo-query processing using cluster-based language models.
Oren Kurland, Lillian Lee, and Carmel Domshlak.
Proceedings of SIGIR, pp. 19–26, 2005.
- Corpus
structure, language models, and ad hoc information
retrieval.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR, pp. 194–201, 2004.
Journal version to appear in Transactions on Information
Systems 27(3), 2009.
- Iterative residual rescaling: An analysis and generalization of LSI.
Rie Kubota Ando and Lillian Lee.
Proceedings of the 24th SIGIR, pp. 154–162, 2001.
Generation
Distributional similarity
- On the effectiveness of the skew divergence for statistical language analysis.
Lillian Lee.
Artificial Intelligence and Statistics 2001, pp 65–72, 2001.
- Measures of Distributional Similarity.
Lillian Lee.
Proceedings of the 37th ACL, pp 25–32, 1999.
- Distributional similarity models: Clustering vs. nearest neighbors.
Lillian Lee and Fernando Pereira.
Proceedings of the 37th ACL, pp 33–40, 1999.
- Similarity-based models of word cooccurrence probabilities (pre-publication version).
Ido Dagan, Lillian Lee, and Fernando Pereira.
Machine Learning 34(1-3), special issue on natural language
learning, pp 43–69, 1999.
- Similarity-Based Methods for Word Sense Disambiguation.
Ido Dagan, Lillian Lee, and Fernando Pereira.
Proceedings of the 35th ACL/8th EACL, pp 56–63, 1997.
- Similarity-Based Approaches to Natural Language Processing.
Lillian Lee.
Ph.D. thesis.
Harvard University Technical Report TR-11-97.
- Similarity-Based Estimation of Word Cooccurrence Probabilities.
Ido Dagan, Fernando Pereira, and Lillian Lee.
Proceedings of the 32nd ACL, pp 272–278, 1994.
- Distributional clustering of English words.
Fernando Pereira, Naftali Tishby, and Lillian Lee.
Proceedings of the 31st ACL, pp 183–190, 1993.
Of related interest: Baker and McCallum's SIGIR '98 paper, Distributional
Clustering of Words for Text Classification, favorably compares [PTL
93] to LSI and other algorithms.
Segmentation
Context-free languages
Reviews and pedagogy
- A new start: Innovative introductory AI-centered courses at
Cornell.
Eric Breck, David Easley, K-Y Daisy
Fan, Jon Kleinberg,
Lillian Lee, Jennifer Wofford, and
Ramin
Zabih.
AAAI Spring Symposium on Using AI to Motivate Greater Participation in
Computer Science, AAAI Technical Report SS-08-08, pp. 8-13, 2008.
- A non-programming introduction to computer science via NLP, IR, and AI.
Lillian Lee.
ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, pp 32–37, 2002.
- Foundations of Statistical Natural Language Processing by Christopher D. Manning and Hinrich Schütze [review] (prepublication version).
Lillian Lee.
Computational Linguistics 26(2), pp 277–279, 2000.
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