Paper: Opinion Target Extraction Using Word-Based Translation Model

ACL ID D12-1123
Title Opinion Target Extraction Using Word-Based Translation Model
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012

This paper proposes a novel approach to extract opinion targets based on word- based translation model (WTM). At first, we apply WTM in a monolingual scenario to mine the associations between opinion targets and opinion words. Then, a graph- based algorithm is exploited to extract opinion targets, where candidate opinion relevance estimated from the mined associations, is incorporated with candidate importance to generate a global measure. By using WTM, our method can capture opinion relations more precisely, especially for long-span relations. In particular, compared with previous syntax-based methods, our method can effectively avoid noises from parsing errors when dealing with informal texts in large Web corpora. By using graph-based algorithm, opinion targets are extra...