Paper: Prior-informed Distant Supervision for Temporal Evidence Classification

ACL ID C14-1094
Title Prior-informed Distant Supervision for Temporal Evidence Classification
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Temporal evidence classification, i.e., finding associations between temporal expressions and re- lations expressed in text, is an important part of temporal relation extraction. To capture the variations found in this setting, we employ a distant supervision approach, modeling the task as multi-class text classification. There are two main challenges with distant supervision: (1) noise generated by incorrect heuristic labeling, and (2) distribution mismatch between the target and distant supervision examples. We are particularly interested in addressing the second problem and propose a sampling approach to handle the distribution mismatch. Our prior-informed distant supervision approach improves over basic distant supervision and outperforms a purely super- vised approach when evaluated o...