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.1 We believe that this demo will provide valuable insight for temporal understanding and be useful for multiple time-aware applications.
Cite
CITATION STYLE
Ning, Q., Zhou, B., Feng, Z., Peng, H., & Roth, D. (2018). CogCompTime: A tool for understanding time in natural language. In EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (pp. 72–77). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d18-2013
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