CogCompTime: A Tool for Understanding Time in Natural Language

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

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/ml4al-ingestion/D18-2013.pdf
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