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Volumn , Issue , 2017, Pages 77-86

The event storyline corpus: A new benchmark for causal and temporal relation extraction

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85096524349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (152)

References (32)
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    • (2015) Proceedings of The 9th Linguistic Annotation Workshop , pp. 188-196
    • Dunietz, Jesse1    Levin, Lori2    Carbonell, Jaime3
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    • Miller, George A1
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    • Dublin City University and Association for Computational Linguistics, Dublin, Ireland, pages
    • Paramita Mirza and Sara Tonelli. 2014. An analysis of causality between events and its relation to temporal information. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. Dublin City University and Association for Computational Linguistics, Dublin, Ireland, pages 2097–2106. http://www.aclweb.org/anthology/C14-1198.
    • (2014) Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers , pp. 2097-2106
    • Mirza, Paramita1    Tonelli, Sara2
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    • Caters: Causal and temporal relation scheme for semantic annotation of event structures
    • b Association for Computational Linguistics, San Diego, California, pages
    • Nasrin Mostafazadeh, Alyson Grealish, Nathanael Chambers, James Allen, and Lucy Vanderwende. 2016b. Caters: Causal and temporal relation scheme for semantic annotation of event structures. In Proceedings of the Fourth Workshop on Events. Association for Computational Linguistics, San Diego, California, pages 51–61. http://www.aclweb.org/anthology/W16-1007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.