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V. Hatzivassiloglou, J. Klavans, M. Holcombe, R. Barzilay, M.Y. Kan, and K.R. McKeown. SimFinder: A Flexible Clustering Tool for Summarization. NAACL'01 Automatic Summarization Workshop, 2001.

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Detecting Discrepancies in Numeric Estimates Using.. - White, Cardie, Ng (2002)   (Correct)

....part of . on camera) Details now hard to come by, but reports say entire villages were buried by . Figure 4: Information Extraction in the Domain of Natural Disasters. Output of the system is shown on the left; input, on the right. In the analysis stage, we use Columbia s SimFinder tool [8] to obtain surface oriented similarity measures and clusters for the sentences in the input articles. To obtain potentially more accurate partitions using the IE output, we semantically merge the extracted slots into comparable groups, i.e. ones whose members can be examined for discrepancies. ....

V. Hatzivassiloglou, J. L. Klavans, M. L. Holcombe, R. Barzilay, M.-Y. Kan, and K. R. McKeown. Simfinder: A flexible clustering tool for summarization. In Proceedings of the NAACL 2001.


Towards Answering Opinion Questions: Separating Facts from.. - And Identifying The (2003)   Self-citation (Hatzivassiloglou)   (Correct)

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Vasileios Hatzivassiloglou, Judith Klavans, Melissa Holcombe, Regina Barzilay, Min-Yen Kan, and Kathleen McKeown. 2001. SIMFINDER: A flexible clustering tool for summarization. In Proceedings of the Workshop on Summarization in NAACL-01.


Tracking and Summarizing News on a Daily Basis.. - McKeown.. (2002)   (2 citations)  Self-citation (Hatzivassiloglou Klavans Barzilay Mckeown)   (Correct)

....above. To summarize documents on the same event, the Columbia summarizer uses an enhanced version of MultiGen [2, 8] MultiGen integrates machine learning and statistical techniques to identify similar sentences (set set of similar sentences is called a themes) across the input articles [5, 6]. It then uses an alignment of parse trees to find the intersection of similar phrases within sentences [2] It orders the selected themes [1] and uses language generation to cut and paste together similar phrases from the theme sentences. Each theme corresponds to roughly one sentence of the ....

V. Hatzivassiloglou, J. L. Klavans, M. L. Holcombe, R. Barzilay, M.-Y. Kan, and K. R. McKeown. SIMFINDER: A flexible clustering tool for summarization. In NAACL Workshop on Automatic Summarization, pages 41--49. Association for Computational Linguistics, 2001.


A Comparative Study of Language Models for Book and Author.. - Uzuner, Katz (2005)   (Correct)

No context found.

V. Hatzivassiloglou, J. Klavans, M. Holcombe, R. Barzilay, M.Y. Kan, and K.R. McKeown. SimFinder: A Flexible Clustering Tool for Summarization. NAACL'01 Automatic Summarization Workshop, 2001.


Corpus-based Generation of Easy Help-desk Responses - Marom, Zukerman (2005)   (Correct)

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Hatzivassiloglou, V., Klavans, J., Holcombe, M., Barzilay, R., Kan, M., and McKeown, K. (2001). Simfinder: A flexible clustering tool for summarization. In Proceedings of the NAACL Workshop on Automatic Summarization, Pittsburgh, Pennsylvania. 11


Comparing Redundancy Removal Techniques for.. - Newman, Doran.. (2004)   (Correct)

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Vasileios Hatzivassiloglou, Judith L. Klavans, Melissa L. Holcombe, Regina Barzilay, Min-Yen Kan, and Kathleen R. McKeown, SimFinder:A Flexible Clustering Tool for Summarization, NAACL Workshop on Auromatic Summarization, Association for Computational Linguistics, 2001.


Sub-Event Based Multi-Document Summarization - Naomi Daniel Dragomir   (Correct)

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Hatzivassiloglou et al., 2001. "SimFinder: A Flexible Clustering Tool for Summarization." NAACL, Workshop on Automatic Summarization. Pittsburgh, PA.


Detecting Discrepancies and - Improving Intelligibility Two (2001)   (Correct)

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Vasileios Hatzivassiloglou, Judith L. Klavans, Melissa L. Holcombe, Regina Barzilay, Min-Yen Kan, and Kathleen R. McKeown. Simfinder: A flexible clustering tool for summarization. In Proceedings of the NAACL 2001.

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