Abstract
Temporal information extraction is a challenging task. Here we describe Chrono, a hybrid rule-based and machine learning system that identifies temporal expressions in text and normalizes them into the SCATE schema. After minor parsing logic adjustments, Chrono has emerged as the top performing system for SemEval 2018 Task 6: Parsing Time Normalizations.
Cite
CITATION STYLE
Olex, A. L., Maffey, L. G., Morton, N., & McInnes, B. T. (2018). Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 97–101). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1012
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