LCC-TE: A hybrid approach to temporal relation identification in news text

ACL 2007 - SemEval 2007 - Proceedings of the 4th International Workshop on Semantic Evaluations

Volumn , Issue , 2007, Pages 219-222

  Min, Congmin ^a   Srikanth, Munirathnam ^a   Fowler, Abraham ^a  

^a Language Computer Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SEMANTICS;

HYBRID APPROACH; MACHINE LEARNING MODELS; MACHINE LEARNING TECHNIQUES; SUBTASKS; TEMPORAL INFORMATION EXTRACTION; TEMPORAL RELATION;

LEARNING SYSTEMS;

EID: 84896956654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. B. Boguraev and R.K. Ando. 2005. TimeML-compliant Text Analysis for Temporal Reasoning. Proceedings of IJCAI, UK.
2. D. Ahn, S.F. Adafre and M.D. Rijke. 2005. Towards Task-based Temporal Extraction and Recognition. Dagstuhl Seminar Proceedings 05151.
3. Inderjeet Mani and George Wilson. 2000. Robust Temporal Processing of News. Proceedings of ACL'2000.
4. Inderjeet Mani, Barry Schiffman, and Jianping Zhang. 2003. Inferring Temporal Ordering of Events in News. Proceedings of HLT-NAACL'03, 55-57.
5. K. Hacioglu, Y. Chen and B. Douglas. 2005. Automatic Time Expression Labeling for English and Chinese Text, Proceedings of CICLing-2005.
6. L. Li, T. Mao, D. Huang and Y. Yang. 2006. Hybrid Models for Chinese Named Entity Recognition. Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing.
7. The TimeML Working Group. 2005. The TimeML 1.2 Specification. http://www.timeml.org/site/publications/specs.html