While unsupervised anaphoric zero pronoun (AZP) resolvers have recently been shown to
rival their supervised counterparts in performance, it is relatively difficult to scale them up to …

We present an ILP-based model of zero anaphora detection and resolution that builds on
the joint determination of anaphoricity and coreference model proposed by Denis and …

We present a discriminative model for Japanese zero anaphora resolution that
simultaneously determines an appropriate case frame for a given predicate and its predicate …

Human conversation attempts to build common ground consisting of shared beliefs,
knowledge, and perceptions that form the premise for understanding utterances. Recent …

This paper proposes a method for intrasentential subject zero anaphora resolution in
Japanese. Our proposed method utilizes a Multi-column Convolutional Neural Network …

This paper presents a predicate-argument structure analysis that simultaneously conducts
zero-anaphora resolution. By adding noun phrases as candidate arguments that are not …

Abstract In languages like Arabic, Chinese, Italian, Japanese, Korean, Portuguese, Spanish,
and many others, predicate arguments in certain syntactic positions are not realized instead …

This paper presents a new approach to exploit coreference information for extracting event-
argument (EA) relations from biomedical documents. This approach has two advantages:(1) …

Masked language models (MLMs) have contributed to drastic performance improvements
with regard to zero anaphora resolution (ZAR). To further improve this approach, in this …

The performance of Japanese predicate argument structure (PAS) analysis has improved in
recent years thanks to the joint modeling of interactions between multiple predicates …