Paper: Applying Machine Learning To Chinese Temporal Relation Resolution

ACL ID P04-1074
Title Applying Machine Learning To Chinese Temporal Relation Resolution
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is of- ten inferred from a variety of interactive gram- matical and lexical cues, especially in Chinese. For this purpose, inter-clause relations (tempo- ral or otherwise) in a multiple-clause sentence play an important role. In this paper, a computa- tional model based on machine learning and heterogeneous collaborative bootstrapping is proposed for analyzing temporal relations in a Chinese multiple-clause sentence. The model makes use of the fact that events are represented in different temporal structures. It takes into ac- count the effects of linguistic features such as tense/aspect, temporal connectives, and dis- course structures. A set of experi...