A hybrid statistical/linguistic model for generating News Story gists

Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2004, Pages 464-465

  Doran, William P ^a   Stokes, Nicola ^a   Newman, Eamonn ^a   Dunnion, John ^a   Carthy, Joe ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Lexical Cohesion; Machine Learning; Summarisation

Indexed keywords

ABSTRACTING; COGNITIVE SYSTEMS; EVALUATION; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; SEMANTICS; THESAURI;

INVERSE DOCUMENT FREQUENCY (IDF); LEXICAL COHESION; NEWS STORIES GISTS; SUMMARIZATION;

COMPUTATIONAL LINGUISTICS;

EID: 8644275736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008992.1009072     Document Type: Conference Paper

References (7)

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3. DUC 2003: www.nlpir.nist.gov/projects/duc
4. Lin C-Y, E. Hovy. Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics. In Proceedings of HLT-NAACL, 2003.
5. Stokes, N. Applications of Lexical Cohesion Analysis in the Topic Detection and Tracking domain. Ph.D. Thesis, Dept. of Computer Science, University College Dublin, 2004.
6. Spark-Jones, K. Factorial Summary Evaluation. Workshop on Text Summarisation in conjunction with SIGIR, 2001.
7. TDT Pilot Study Corpus: www.nist.gov/speech/tests/tdt