Paper: Chinese Temporal Tagging with HeidelTime

ACL ID E14-4026
Title Chinese Temporal Tagging with HeidelTime
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014

Temporal information is important for many NLP tasks, and there has been ex- tensive research on temporal tagging with a particular focus on English texts. Re- cently, other languages have also been ad- dressed, e.g., HeidelTime was extended to process eight languages. Chinese temporal tagging has achieved less attention, and no Chinese temporal tagger is publicly avail- able. In this paper, we address the full task of Chinese temporal tagging (extraction and normalization) by developing Chinese HeidelTime resources. Our evaluation on a publicly available corpus ? which we also partially re-annotated due to its rather low quality ? demonstrates the effective- ness of our approach, and we outperform a recent approach to normalize temporal expressions. The Chinese HeidelTime re- source as we...