The research focus of computational coreference resolution has exhibited a shift from
heuristic approaches to machine learning approaches in the past decade. This paper …

In this paper, we present a machine learning approach to the identification and resolution of
Chinese anaphoric zero pronouns. We perform both identification and resolution …

In this paper, we discuss how to annotate coreference and predicate-argument relations in
Japanese written text. There have been research activities for building Japanese text …

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 …

This paper proposes a unified framework for zero anaphora resolution, which can be divided
into three sub-tasks: zero anaphor detection, anaphoricity determination and antecedent …

Deep neural network models for Chinese zero pronoun resolution learn semantic
information for zero pronoun and candidate antecedents, but tend to be short-sighted---they …

Recent neural network methods for zero pronoun resolution explore multiple models for
generating representation vectors for zero pronouns and their candidate antecedents …

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

Most existing approaches for zero pronoun resolution are heavily relying on annotated data,
which is often released by shared task organizers. Therefore, the lack of annotated data …

Existing approaches for Chinese zero pronoun resolution typically utilize only syntactical
and lexical features while ignoring semantic information. The fundamental reason is that …