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 …

Zero pronouns (ZPs) are frequently omitted in pro-drop languages (eg Chinese, Hungarian,
and Hindi), but should be recalled in non-pro-drop languages (eg English). This …

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 …

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 …

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 …

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

The phenomenon of zero pronoun (ZP) has attracted increasing interest in the machine
translation community due to its importance and difficulty. However, previous studies …

Existing approaches for Chinese zero pronoun resolution overlook semantic information.
This is because zero pronouns have no descriptive information, which results in difficulty in …