My Ph.D. students and selected other Cornell advisees:
During their time as students at Cornell, they gave invited talks at
Bar-Ilan, Carnegie Mellon, the Technion, UMass Amherst, University of
Pennsylvania, and University of Wisconsin among others, and worked on these papers:
- Towards robust query
expansion: Model selection in the language modeling framework.
Mattan Winaver, Oren Kurland and Carmel Domshlak.
Proceedings of SIGIR, 2007 (poster).
- Respect my authority! HITS without hyperlinks, utilizing cluster-based language models.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR, 2006.
- Get
out the vote: Determining support or opposition from
Congressional floor-debate transcripts.
Matt Thomas, Bo Pang, and Lillian Lee.
Proceedings of EMNLP, 2006.
- Inter-document similarities, language
models, and ad hoc information retrieval.
Oren Kurland.
Ph.D. Thesis, 2006.
- PageRank
without hyperlinks: Structural re-ranking using links induced by language models.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR, 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, 2005.
- Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.
Bo Pang and Lillian Lee.
Proceedings of the ACL, 2005.
- Corpus structure,
language models, and ad hoc information retrieval.
Oren Kurland and Lillian Lee.
Proceedings of SIGIR 2004.
- A
Sentimental Education: Sentiment Analysis Using Subjectivity
Summarization Based on Minimum Cuts.
Bo Pang and Lillian Lee.
Proceedings of ACL 2004.
- Syntax-based Alignment of
Multiple Translations: Extracting Paraphrases and Generating New
Sentences.
Bo Pang, Kevin Knight, and Daniel Marcu.
HLT/NAACL 2003.
- Thumbs
up? Sentiment Classification using Machine Learning Techniques.
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan.
2002 Conference on Empirical Methods in Natural
Language Processing (EMNLP)
- The Document Representation Problem: An Analysis of LSI and
Iterative Residual Rescaling. (ps, pdf)
Rie Kubota Ando.
Ph.D. Thesis, 2001.
Cornell Computer Science Technical Report TR2001-1843
- Iterative Residual Rescaling: An Analysis and Generalization of
LSI.
Rie Kubota Ando and Lillian Lee.
SIGIR 2001
- Latent semantic space: Iterative scaling improves precision of inter-document
similarity measurement.
Rie Kubota Ando.
SIGIR 2000
- Mostly-unsupervised statistical segmentation of Japanese:
Applications to kanji
Rie Kubota Ando and Lillian Lee.
First Conference of the NAACL, 2000
- Multi-document summarization by visualizing topical content.
Rie Kubota Ando, Branimir Boguraev, Roy Byrd, and Mary Neff.
ANLP/NAACL '00 Workshop on Automatic Summarization
Lillian Lee's home page
CUCS NLP home page