CogCompTime: A Tool for Understanding Time in Natural Language

Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth

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Abstract
Automatic extraction of temporal information is important for natural language understanding. It involves two basic tasks: (1) Understanding time expressions that are mentioned explicitly in text (e.g., February 27, 1998 or tomorrow), and (2) Understanding temporal information that is conveyed implicitly via relations. This paper introduces CogCompTime, a system that has these two important functionalities. It incorporates the most recent progress, achieves state-of-the-art performance, and is publicly available at http://cogcomp.org/page/publication_view/844.
Anthology ID:
D18-2013
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2018
Address:
Brussels, Belgium
Editors:
Eduardo Blanco, Wei Lu
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
72–77
Language:
URL:
https://aclanthology.org/D18-2013
DOI:
10.18653/v1/D18-2013
Bibkey:
Cite (ACL):
Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, and Dan Roth. 2018. CogCompTime: A Tool for Understanding Time in Natural Language. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 72–77, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
CogCompTime: A Tool for Understanding Time in Natural Language (Ning et al., EMNLP 2018)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/D18-2013.pdf
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