Paper: Automatic Inference of the Temporal Location of Situations in Chinese Text

ACL ID D08-1074
Title Automatic Inference of the Temporal Location of Situations in Chinese Text
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008
Authors
  • Nianwen Xue (University of Colorado at Boulder, Boulder CO)

Chinese is a language that does not have mor- phological tense markers that provide explicit grammaticalization of the temporal location of situations (events or states). However, in many NLP applications such as Machine Transla- tion, Information Extraction and Question An- swering, it is desirable to make the temporal location of the situations explicit. We describe a machine learning framework where differ- ent sources of information can be combined to predict the temporal location of situations in Chinese text. Our experiments show that this approach significantly outperforms the most frequent tense baseline. More importantly, the high training accuracy shows promise that this challenging problem is solvable to a level where it can be used in practical NLP applica- tions with more trai...