CogCompTime: A Tool for Understanding Time in Natural Language Text
June 12, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth
arXiv ID
1906.04940
Category
cs.CL: Computation & Language
Cross-listed
cs.IR
Citations
59
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
Automatic extraction of temporal information in text is an important component of 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. In this paper, we introduce 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.1 We believe that this demo will be useful for multiple time-aware applications and provide valuable insight for future research in temporal understanding.
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