Paper: Exploiting Syntactico-Semantic Structures for Relation Extraction

ACL ID P11-1056
Title Exploiting Syntactico-Semantic Structures for Relation Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

In this paper, we observe that there exists a second dimension to the relation extraction (RE) problem that is orthogonal to the relation type dimension. We show that most of these second dimensional structures are relatively constrained and not difficult to identify. We propose a novel algorithmic approach to RE that starts by first identifying these structures and then, within these, identifying the seman- tic type of the relation. In the real RE problem where relation arguments need to be identi- fied, exploiting these structures also allows re- ducing pipelined propagated errors. We show that this RE framework provides significant improvement in RE performance.