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A survey of machine learning for reference resolution in textual discourse
Number of Authors: 1
2004 (English)Report (Refereed)
Abstract [en]

Machine learning methods have been successfully applied to a number of language technology tasks. The purpose of this report is to investigate the efforts made in applying machine learning methods for handling the phenomena of anaphoric reference and coreference in text.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 2004, 1. , 11 p.
Series
SICS Technical Report, ISSN 1100-3154 ; 2004:02
Keyword [en]
Machine learning, anaphora, coreference, survey
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22064OAI: oai:DiVA.org:ri-22064DiVA: diva2:1041606
Available from: 2016-10-31 Created: 2016-10-31

Open Access in DiVA

fulltext(202 kB)3 downloads
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File name FULLTEXT01.pdfFile size 202 kBChecksum SHA-512
81df449fef70965bb49f007fd51dd73323d5570ec91e22e142905dc727126bd5c0652138d1647fa3cd3cf42353e7183add8a801e219a72ad2f71e08e78feb86b
Type fulltextMimetype application/pdf

Computer and Information Science

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