Until now, most discourse researchers have assumed that full semantic understanding is necessary to derive the discourse structure of texts. This book documents the first serious attempt to construct automatically and use nonsemantic computational structures for text summarization. Daniel Marcu develops a semantics-free theoretical framework that is both general enough to be applicable to naturally occurring texts and concise enough to facilitate an algorithmic approach to discourse analysis. He presents and evaluates two discourse parsing methods: one uses manually written rules that reflect common patterns of usage of cue phrases such as "however" and "in addition to"; the other uses rules that are learned automatically from a corpus of discourse structures. By means of a psycholinguistic experiment, Marcu demonstrates how a discourse-based summarizer identifies the most important parts of texts at levels of performance that are close to those of humans.Marcu also discusses how the automatic derivation of discourse structures may be used to improve the performance of current natural language generation, machine translation, summarization, question answering, and information retrieval systems.
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About the Author
Daniel Marcu is a Research Scientist at the Information Sciences Institute at the University of Southern California and Research Assistant Professor in the university''s Department of Computer Science.
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- Computational Processing of the Portuguese Language: 7th International Workshop, PROPOR 2006, Itatiaia, Brazil, May 13-17, 2006, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence) by Renata Vieira on page 189
- Adaptive Multimedia Retrieval: User, Context, and Feedback: Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected ... Applications, incl. Internet/Web, and HCI) by Marcin Detyniecki on page 78
- Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series) by James G. Shanahan on page 183
- Knowledge-Based Information Retrieval and Filtering from the Web (The Springer International Series in Engineering and Computer Science) by Witold Abramowicz on page 120
- Advances in Artificial Intelligence - SBIA 2004: 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29-October ... / Lecture Notes in Artificial Intelligence) by Ana L. C. Bazzan on page 233
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