Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu and, Dong Yu

TL;DR
This paper introduces a method for resolving exophoric pronouns in dialogues by combining local context with global topic information, addressing a gap in traditional pronoun resolution methods.
Contribution
It proposes a novel approach that incorporates topic regularization to improve exophoric pronoun resolution in dialogues, which was previously underexplored.
Findings
Topic regularization improves resolution accuracy
Effective in disambiguating exophoric pronouns
Demonstrates significant gains over baseline methods
Abstract
Resolving pronouns to their referents has long been studied as a fundamental natural language understanding problem. Previous works on pronoun coreference resolution (PCR) mostly focus on resolving pronouns to mentions in text while ignoring the exophoric scenario. Exophoric pronouns are common in daily communications, where speakers may directly use pronouns to refer to some objects present in the environment without introducing the objects first. Although such objects are not mentioned in the dialogue text, they can often be disambiguated by the general topics of the dialogue. Motivated by this, we propose to jointly leverage the local context and global topics of dialogues to solve the out-of-text PCR problem. Extensive experiments demonstrate the effectiveness of adding topic regularization for resolving exophoric pronouns.
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Speech and dialogue systems
