Rie Kubota Ando

I am on an educational leave from Yamato Software Lab (YSL), IBM Japan, and currently, I am a second-year graduate student in the computer science department at Cornell University.

I work with Lillian Lee (my advisor) and Jon Kleinberg, and also with the IR and text analysis group at IBM T. J. Watson Research Center.

Research (1999 - Present)

I am interested in non-linguistic approach to text analysis in relation to information retrieval (IR).

Text Analysis -- Document Representation

This is on-going joint work with the group at IBM T. J. Watson.
- Latent Semantic Space: Iterative Scaling Improves Inter-document Similarity Measurement.
  Rie Kubota Ando. In Proceedings of SIGIR 2000 (to appear).
  (ps, pdf, abstract)
- Multi-document Summarization by Visualizing Topical Content.
  Rie Kubota Ando, Branimir K. Boguraev, Roy J. Byrd, and Mary S. Neff.
  In Proceedings of ANLP/NAACL Workshop on Automatic Summarization, 2000 (to appear).
  (zipped ps, pdf, abstract)
Word Segmentation
- Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji.
  Rie Kubota Ando and Lillian Lee.
  In Proceedings of North American Association for Computational Linguistics (NAACL), 2000 (to appear).
  (ps, pdf, abstract)
- Unsupervised Statistical Segmentation of Japanese Kanji Strings.
  Rie Ando and Lillian Lee. Cornell University CS Technical Report TR99-1756, 1999.
  (ps, pdf, abstract)