Publikation
Recognizing Textual Relatedness with Predicate-Argument Structures
Rui Wang; Yi Zhang
In: Proceedings of EMNLP 2009. Conference on Empirical Methods in Natural Language Processing (EMNLP-2009), August 6-7, Singapore, Association for Computational Linguistics, 2009.
Zusammenfassung
In this paper, we first compare several strategies to handle the newly
proposed three-way Recognizing Textual Entailment (RTE) task. Then we
define a new measurement for a pair of texts, called Textual
Relatedness, which is a weaker concept than semantic similarity or
paraphrase. We show that an alignment model based on the
predicate-argument structures using this measurement can help an RTE
system to recognize the Unknown cases at the first stage, and
contribute to the improvement of the overall performance in the RTE
task. In addition, several heterogeneous lexical resources are
tested, and different contributions from them are observed.