A Hybrid Approach to Validate Induced Syntactic Relations

摘要

We propose in this paper to use NLP approaches to extract and validate induced syntactic relations (verb-object). We employ syntactic parser and a semantic proximity measure to extract them. Then, we focus on a Web validation system, a semantic-vector-based approach, and finally we propose approaches to combine both in order to rank induced syntactic relations. The semantic vectors approach is a Roget-based method which computes a syntactic relation as a vector. Web validation uses a search engine to determine the relevance of a syntactic relation. The systems combine Web validation approach and semantic vectors technique. We apply our approaches on corpus of news, using ROC curves to evaluate the results.