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
- Venues:
- SemEval | *SEM
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 97–101
- Language:
- URL:
- https://aclanthology.org/S18-1012
- DOI:
- 10.18653/v1/S18-1012
- Cite (ACL):
- Amy Olex, Luke Maffey, Nicholas Morgan, and Bridget McInnes. 2018. Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 97–101, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions (Olex et al., SemEval-*SEM 2018)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/S18-1012.pdf
- Data
- PNT