Year: 2007
Type: conference-paper
Abstract: HIT-IR-WSD is a word sense disambiguation (WSD) system developed for English lexical sample task (Task 11) of Semeval 2007 by Information Retrieval Lab, Harbin Institute of Technology.The system is based on a supervised method using an SVM classifier.Multi-resources including words in the surrounding context, the partof-speech of neighboring words, collocations and syntactic relations are used.The final micro-avg raw score achieves 81.9% on the test set, the best one among participating runs.
Authors: Yuhang Guo, Wanxiang Che, Yuxuan Hu, Wei Zhang, Ting Liu
Institution: Harbin Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W1967642404