Paper: Kinds of Features for Chinese Opinionated Information Retrieval

ACL ID P07-3007
Title Kinds of Features for Chinese Opinionated Information Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

This paper presents the results of experi- ments in which we tested different kinds of features for retrieval of Chinese opinionated texts. We assume that the task of retrieval of opinionated texts (OIR) can be regarded as a subtask of general IR, but with some dis- tinct features. The experiments showed that the best results were obtained from the com- bination of character-based processing, dic- tionary look up (maximum matching) and a negation check.