Paper: Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution

ACL ID P09-2022
Title Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

This paper presents a predicate-argument structure analysis that simultaneously con- ducts zero-anaphora resolution. By adding noun phrases as candidate arguments that are not only in the sentence of the target predicate but also outside of the sentence, our analyzer identifies arguments regard- less of whether they appear in the sen- tence or not. Because we adopt discrimi- native models based on maximum entropy for argument identification, we can easily add new features. We add language model scores as well as contextual features. We also use contextual information to restrict candidate arguments.