An Automated Term Definition Extraction using the Web Corpus in Chinese Language

This paper proposes a system, named DefExplorer, which extracts term definitions from the Web, determines the type of question terms, and selects answers from noisy Web pages automatically. DefExplorer filters out invalid data with a semantic approach. We deployed two types of candidate sets, common and domain specific, to group similar candidates and determine candidates´ importance for selecting final answers. Experimental results show that DefExplorer can effectively extract term definitions from the Web, especially for the definitions of out-of-vocabulary terms.