Using Knowledge-poor Coreference Resolution for Text Summarization
Submitted by rene on Sat, 2010-09-18 09:44
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Printer-friendly versionPDF version| Title | Using Knowledge-poor Coreference Resolution for Text Summarization |
| Publication Type | Conference Paper |
| Year of Publication | 2003 |
| Authors | Bergler, S., R. Witte, M. Khalife, Z. Li, and F. Rudzicz |
| Refereed Designation | Non-Refereed |
| Conference Name | Workshop on Text Summarization |
| Tertiary Title | Document Understanding Conference (DUC) |
| Date Published | May 31–June 1 |
| Publisher | NIST |
| Conference Location | Edmonton, Canada |
| Abstract | We present a system that produces 10-word summaries based on the single summarization strategy of outputting noun phrases representing the most important text entities (as represented by noun phrase coreference chains). The coreference chains were computed using fuzzy set theory combined with knowledge-poor corefernce heuristics. |
| URL | http://www-nlpir.nist.gov/projects/duc/pubs/2003final.papers/concordia.final.pdf |
| Copyright | Copyright © 2003 Sabine Bergler, René Witte, Michelle Khalife, Zhuoyan Li, and Frank Rudzicz. All rights reserved. |
| Attachment | Size |
|---|---|
| concordia.final_.pdf | 118.77 KB |
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