Story link detection and new event detection are asymmetric

Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Short Papers, HLT-NAACL 2003

Volumn , Issue , 2003, Pages 13-15

  Chen, Francine ^a   Farahat, Ayman ^a   Brants, Thorsten ^a  

^a PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORE TECHNOLOGY; DETECTION TASKS; EVENTS DETECTION; PART OF SPEECH TAGGING; PARTS-OF-SPEECH TAGGING; PERFORMANCE; RETRIEVAL FRAMEWORKS; SIMILARITY MEASURE; STORY LINK DETECTION; TOPIC DETECTION AND TRACKING;

COMPUTATIONAL LINGUISTICS;

EID: 78651315163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. James Allan, Hubert Jin, Martin Rajman, Charles Wayne, Dan Gildea, Victor Lavrenko, Rose Hoberman, and David Caputo. 1999. Topic-based novelty detection. Summer workshop final report, Center for Language and Speech Processing, Johns Hopkins University.
2. James Allan, Victor Lavrenko, and Hubert Jin. 2000. First story detection in TDT is hard. In CIKM, pages 374–381.
3. Thorsten Brants, Francine Chen, and Ioannis Tsochantaridis. 2002. Topic-based document segmentation with probabilistic latent semantic analysis. In CIKM, pages 211–218, McLean, VA.
4. Jaime Carbonell, Yiming Yang, Ralf Brown, Chun Jin, and Jian Zhang. 2001. Cmu tdt report. Slides at the TDT-2001 meeting, CMU.
5. Charles Wayne. 2000. Multilingual topic detection and tracking: Successful research enabled by corpora and evaluation. In LREC, pages 1487–1494, Athens, Greece.