Paper: Joint Extraction Of Entities And Relations For Opinion Recognition

ACL ID W06-1651
Title Joint Extraction Of Entities And Relations For Opinion Recognition
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

We present an approach for the joint ex- traction of entities and relations in the con- text of opinion recognition and analysis. We identify two types of opinion-related entities — expressions of opinions and sources of opinions — along with the link- ing relation that exists between them. In- spired by Roth and Yih (2004), we employ an integer linear programming approach to solve the joint opinion recognition task, and show that global, constraint-based in- ference can significantly boost the perfor- mance of both relation extraction and the extraction of opinion-related entities. Per- formance further improves when a seman- tic role labeling system is incorporated. The resulting system achieves F-measures of 79 and 69 for entity and relation extrac- tion, respectively, improving sub...