Paper: Recognizing Implied Predicate-Argument Relationships in Textual Inference

ACL ID P14-2120
Title Recognizing Implied Predicate-Argument Relationships in Textual Inference
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We investigate recognizing implied predicate-argument relationships which are not explicitly expressed in syntactic structure. While prior works addressed such relationships as an extension to se- mantic role labeling, our work investigates them in the context of textual inference scenarios. Such scenarios provide prior information, which substantially eases the task. We provide a large and freely available evaluation dataset for our task setting, and propose methods to cope with it, while obtaining promising results in empirical evaluations. 1 Motivation and Task This paper addresses a typical sub-task in tex- tual inference scenarios, of recognizing implied predicate-argument relationships which are not expressed explicitly through syntactic structure. Consider the following example: (i)...