Probabilistic task content modeling for episodic textual narratives

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Volumn , Issue , 2007, Pages 443-444

  Mustafaraj, Eni ^a   Hoof, Martin ^b   Freisleben, Bernd ^a  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b FH Kaiserslautern ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; NATURAL LANGUAGE PROCESSING SYSTEMS; PROBABILITY;

PRIORI TASK KNOWLEDGE; PROBABILISTIC MODELS; REAL WORLD CORPUS; TEXTUAL NARRATIVES;

KNOWLEDGE MANAGEMENT;

EID: 37349053762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Barzilay, R., and Lee, L. 2004. Catching the drift: Probabilistic content models, with applications to generation and summarization. In Proc. of NAACL-HLT, 113-120.
2. Cui, H.; Mittal, V.; and Datar, M. 2006. Comparative experiments on sentiment classification for online product reviews. In Proc. of AAAI, 1265-1270.
3. Lenz, M. 1999. Case Retrieval Nets as a Model for Building Flexible Information Systems. Humboldt Universitaet zu Berlin.
4. Mustafaraj, E.; Hoof, M.; and Freisleben, B. 2006. LARC: Learning to assign knowledge roles to textual cases. In Proc. of FLAIRS, 370-375.
5. Richter, M. 1998. Introduction. In Case-Based Reasoning Technology: From Foundations to Applications, 1-15. Springer Verlag.