Paper: Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information

ACL ID D14-1204
Title Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We address the problem of automatically inferring the tense of events in Chinese text. We use a new corpus annotated with Chinese semantic tense information and other implicit Chinese linguistic informa- tion using a ?distant annotation? method. We propose three improvements over a rel- atively strong baseline method ? a statisti- cal learning method with extensive feature engineering. First, we add two sources of implicit linguistic information as fea- tures ? eventuality type and modality of an event, which are also inferred automat- ically. Second, we perform joint learning on semantic tense, eventuality type, and modality of an event. Third, we train arti- ficial neural network models for this prob- lem and compare its performance with feature-based approaches. Experimental results sho...