Effect of Event Type Classification for Temporal Relation Identification in Chinese Text
Yuchang Cheng, Masayuki Asahara, Yūji Matsumoto · International Journal of Computer Processing Of Languages · 2008
This paper investigates a machine learning approach for identification of temporal relation between events in Chinese text. We proposed a temporal relation annotation guideline [3] and constructed temporal information annotated corpora. However, our previous criteria did not deal with various uses of Chinese verbs. For supplementing the previous version of our criteria, we introduce attributes of verbs that describe event types. We illustrate the attributes by the different examples of verb usages. We perform an experiment to evaluate the effect of our event type attributes in the temporal relation identification. As far as we know, this is the first work of temporal relation identification between verbs in Chinese texts. The result shows that the use of the attributes of verbs can improve the automatic temporal relation extraction accuracy.