Paper: Automatic Identification of Predicate Heads in Chinese Sentences

ACL ID W10-4112
Title Automatic Identification of Predicate Heads in Chinese Sentences
Venue Joint Conference on Chinese Language Processing
Session Main Conference
Year 2010
Authors

We propose an effective approach to auto- matically identify predicate heads in Chinese sentences based on statistical pre-processing and rule-based post-processing. In the pre- processing stage, the maximal noun phrases in a sentence are recognized and replaced by “NP” labels to simplify the sentence structure. Then a CRF model is trained to recognize the predicate heads of this simplified sentence. In the post-processing stage, a rule base is built according to the grammatical features of predicate heads. It is then utilized to correct the preliminary recognition results. Experi- mental results show that our approach is feasi- ble and effective, and its accuracy achieves 89.14% on Tsinghua Chinese Treebank.