Barry Schiffman, Ani Nenkova, and Kathleen McKeown. 2002. Experiments in multidocument summarization. In Proceedings of Human Language Technology Conference.  Home/Search Document Details and Download
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Building a Resource for Evaluating the Importance of.. - Barry Schiffman Columbia (2002) Self-citation (Schiffman) (Correct)
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Barry Schiffman, Ani Nenkova, and Kathleen McKeown. 2002. Experiments in multidocument summarization. In Proceedings of Human Language Technology Conference.
Similarity-based Multilingual Multi-Document Summarization - David Kirk Evans (2005) Self-citation (Mckeown) (Correct)
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Barry Schiffman, Ani Nenkova, and Kathleen McKeown. 2002. Experiments in multidocument summarization.
Columbia University at DUC 2004 - Blair-Goldensohn, Evans.. (2004) Self-citation (Schiffman Nenkova Mckeown) (Correct)
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Schiffman, B., Nenkova, A., and McKeown, K. (2002). Experiments in multidocument summarization. In Proceedings of the Human Language Technology Conference HLT02.
Tracking and Summarizing News on a Daily Basis.. - McKeown.. (2002) (2 citations) Self-citation (Schiffman Nenkova Mckeown) (Correct)
....Newsblaster is a system developed at Columbia to provide news updates on a daily basis; it crawls news sites, filters out news from non news (e.g. ads) groups news into stories on the same event, and generates a summary of each event. Summaries are generated using the Columbia Summarizer [8, 7, 13], which was evaluated in the Document Understanding Conference (DUC) in 2001. News is grouped into stories on the same event using a Topic Detection and Tracking (TDT) style system developed at Columbia [4] Unlike other TDT systems, Columbia s uses a learned, weighted combination of features to ....
....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 summary. For biographical documents, it uses an alternate system, DEMS (Dissimilarity Engine for Multidocument Summarization) [13], tuned to the biographical task; and for sets of loosely similar documents, it uses DEMS with a more general configuration. DEMS selects Figure 3: A DEMS summary sentences that contain information that is important or interesting enough to be included in a summary. It uses a combination of ....
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B. Schiffman, A. Nenkova, and K. McKeown. Experiments in multi-document summarization. In HLT 2002.
Comparing Lexical, Acoustic/Prosodic, Structural and.. - Speech Summarization.. (2005) (Correct)
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Schiffman, B., Nenkova, A., McKeown, K. "Experiments in multidocument summarization", HLT 2002.
Comparing Redundancy Removal Techniques for.. - Newman, Doran.. (2004) (Correct)
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Barry Schiffman, Ani Nenkova, Kathleen R. McKeown, Experiments in Multi--Document Summarization, Proc. Conf. Human Language Technology, 2002.
Newsjunkie: Providing Personalized Newsfeeds via.. - Gabrilovich, Dumais.. (2004) (1 citation) (Correct)
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B. Schiffman, A. Nenkova, and K. McKeown. Experiments in multidocument summarization. In Proceedings of the Human Language Technology Conference (HLT-2002.
Newsjunkie: Providing Personalized Newsfeeds via - Analysis Of Information (Correct)
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B. Schiffman, A. Nenkova, and K. McKeown. Experiments in multidocument summarization. In Proceedings of the Human Language Technology Conference (HLT-2002.
Language Models for Hierarchical Summarization - Lawrie (2003) (1 citation) (Correct)
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Schiffman, B., Nenkova, A., and McKeown, K. Experiments in multidocument summarization. In Proceedings of the DARPA Human Language Technology Conference (2002), pp. 44--49.
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