Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions

Amy Olex, Luke Maffey, Nicholas Morgan, Bridget McInnes


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.
Anthology ID:
S18-1012
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
97–101
Language:
URL:
https://www.aclweb.org/anthology/S18-1012
DOI:
10.18653/v1/S18-1012
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1012.pdf