Rie Johnson home page (formerly, Rie Kubota Ando)



Research interests
Machine learning and its application to text analysis and information retrieval.

My last name changed to Johnson on May 11, 2007.

David Johnson home page
Jet Johnson home page


Publications


Conference and Journal Papers

Graph-based Semi-supervised Learning and Spectral Kernel Design. Rie Johnson and Tong Zhang. IEEE Transactions on Information Theory, 54(1):275-288, 2008. Final draft.

Word Sense Disambiguation across Two Domains: Biomedical Literature and Clinical Notes. Guergana Savova, Anni Coden, Igor Sominsky, Rie Johnson, Philip Ogren, Piet de Groen, and Christopher Chute. Journal of Biomedical Informatics. 2008.

On the Effectiveness of Laplacian Normalization for Graph Semi-Supervised Learning. Rie Johnson and Tong Zhang. Journal of Machine Learning Research, Vol(8):1489-1517, 2007.

Two-view Feature Generation Model for Semi-supervised Learning. Rie Kubota Ando and Tong Zhang. Proceedings of the 24th International Conference on Machine Learning (ICML). 2007.

BioCreative II Gene Mention Tagging System at IBM Watson. Rie Kubota Ando. Proceedings of the Second BioCreative Challenge Evaluation Workshop. 2007. First place among the 21 teams.

TimeBank Evolution as a Community Resource for TimeML Parsing. Branimir Boguraev, James Pustejovsky, Rie Ando, and Marc Verhagen. In review.

Learning on Graph with Laplacian Regularization. Rie Kubota Ando, Tong Zhang. Neural Information Processing Systems (NIPS-2006).

Applying Alternating Structure Optimization to Word Sense Disambiguation. Rie Kubota Ando. Proceedings of the 10th Conference on Computational Natural Language Learning (CoNLL), 2006. Won the Best Paper Award.

Analysis of TimeBank as a Resource for TimeML parsing. Branimir Boguraev, Rie Kubota Ando. Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC), 2006.

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. Rie Kubota Ando and Tong Zhang. Journal of Machine Learning Research, Vol 6:1817-1853, 2005.

A High-Performance Semi-Supervised Learning Method for Text Chunking. Rie Kubota Ando and Tong Zhang. Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), 2005.

TimeML-Compliant Text Analysis for Temporal Reasoning. Branimir Boguraev and Rie Kubota Ando. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), 2005.

Analysis of Spectral Kernel Design based Semi-supervised Learning. Tong Zhang and Rie Kubota Ando. Neural Information Processing Systems (NIPS), 2005.

TREC 2005 Genomics Track Experiments at IBM Watson. Rie Kubota Ando, Mark Dredze, and Tong Zhang. Proceedings of the Fourteenth Text REtrieval Conference (TREC 2005), 2005.

Visualization-Enabled Multi-Document Summarization by Iterative Residual Rescaling. Rie Kubota Ando, Branimir K. Boguraev, Roy J. Byrd, and Mary S. Neff. Natural Language Engineering, 11(1), 2005.

Domain-specific Language Models and Lexicons for Tagging. Anni R. Coden, Serguei V. Pakhomov, Rie K. Ando, Patrick H. Duffy, Christopher G. Chute. Journal of Biomedical Informatics. 2005.

Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis. Rie Kubota Ando. Proceedings of the Eighth Conference on Natural Language Learning (CoNLL), 2004.

Exploiting Unannotated Corpora for Tagging and Chunking. Rie Kubota Ando. Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), 2004. Short paper.

Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences. Rie Kubota Ando and Lillian Lee. Natural Language Engineering, 9(2), 2003.

Iterative Residual Rescaling: Analyzing and Generalizing LSI. Rie Kubota Ando and Lillian Lee. Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001.

Latent Semantic Space: Iterative Scaling Improves Precision of Inter-document Similarity Measurement. Rie Kubota Ando. Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000.

Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji. Rie Kubota Ando and Lillian Lee. Proceedings of the First Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2000.

Multi-document Summarization by Visualizing Topical Content. Rie Kubota Ando, Branimir K. Boguraev, Roy J. Byrd, and Mary S. Neff. Proceedings of ANLP/NAACL Workshop on Automatic Summarization, 2000.


PhD Thesis
The Document Representation Problem: An Analysis of LSI and Iterative Residual Rescaling. Rie Kubota Ando. 2001. Cornell Computer Science Technical Report TR2001-1843.


Technical Reports

TimeBank Evolution as a Community Resource for TimeML Parsing. Branimir Boguraev, James Pustejovsky, Rie Ando, and Marc Verhagen. IBM Research Report RC24050, 2006.

Learning on Graph with Normalized Laplacian Regularization. Rie Kubota Ando and Tong Zhang. IBM Research Report RC24005, 2006.

Graph based Semi-supervised Learning and Spectral Kernel Design. Tong Zhang and Rie Kubota Ando. IBM Research Report RC23713, 2005.

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. Rie Kubota Ando and Tong Zhang. IBM Research Report RC23462, 2004.

TimeML-Compliant Analysis of Text Documents. Branimir Boguraev and Rie Kubota Ando. IBM Research Report RC23455, 2004.

Topical Document Clustering. Rie Kubota Ando. IBM Research Report RC23023, 2004.

Automatic Construction of Lexical Resources. Rie Kubota Ando. IBM Research Report RC22969, 2003.

An Approach to the Unlabeled-Labeled Data Problem. Rie Kubota Ando. IBM Research Report RC22968, 2003.

Unsupervised Statistical Segmentation of Japanese Kanji Strings. Rie Ando and Lillian Lee. Cornell University CS Technical Report TR99-1756, 1999.

Similar Document Search by Using Text Search Engine GTR. Rie Kubota. IBM Yamato Lab, 1996.

Indexing Mechanism of Text Search Engine GTR. Rie Kubota. IBM Yamato Lab, 1995

Fuzzy Search Method of Text Search Engine GTR. Rie Kubota. IBM Yamato Lab, 1995.


Last updated August 18, 2008