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

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …

Despite its substantial coverage, Nom-Bank does not account for all withinsentence
arguments and ignores extrasentential arguments altogether. These arguments, which we …

Abstract The Japanese WordNet currently has 51,000 synsets with Japanese entries. In this
paper, we discuss three methods of extending it: increasing the cover, linking it to examples …

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 propose a semi-supervised learning method for improving why-question answering (why-
QA). The key of our method is to generate training data (question-answer pairs) from causal …

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

Nominal predicates often carry implicit arguments. Recent work on semantic role labeling
has focused on identifying arguments within the local context of a predicate; implicit …

Semantic role labeling is primarily used to identify predicates, arguments, and their semantic
relationships. Due to the limitations of modeling methods and the conditions of pre-identified …