Quantifying the limits and success of extractive summarization systems across domains

NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2010, Pages 903-911

  Ceylan, Hakan ^a   Mihalcea, Rada ^a   Özertem, Umut ^b   Lloret, Elena ^c   Palomar, Manuel ^c  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b YAHOO RESEARCH   (United States)

^c UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SUMMARIZATION SYSTEM; AUTOMATIC TEXT SUMMARIZATION; DIFFERENT DOMAINS; EXHAUSTIVE SEARCH; EXTRACTIVE SUMMARIZATIONS; LEGAL DOCUMENTS; NEWS DOMAIN; PROBABILITY DENSITY FUNCTION (PDF); TOPIC IDENTIFICATION;

COMPUTATIONAL LINGUISTICS;

TEXT PROCESSING;

EID: 84856492104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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