William Shiyuan Wang — accepted AI-conference papers

2025

Context and POS in Action: A Comparative Study of Chinese Homonym Disambiguation in Human and Language Models

Xie Chenwei, Matthew King-Hang Ma, Wenbo Wang, William Shiyuan Wang

EMNLP 2025

Ambiguity is pervasive in language, yet we resolve it effortlessly and unconsciously, often aided by context and part-of-speech (POS) cues. This study investigates how context similarity and POS influence homonym disambiguation in humans and large language models (LLMs). To enable comparable analyse

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2025

Exploring Layer-wise Representations of English and Chinese Homonymy in Pre-trained Language Models

Matthew King-Hang Ma, Xie Chenwei, Wenbo Wang, William Shiyuan Wang

ACL 2025finding

Homonymy can easily raise lexical ambiguity due to the misunderstanding of its multiple senses. Correct recognition of homonym sense greatly relies on its surrounding context. This ambiguous nature makes homonyms an appropriate testbed for examining the contextualization capability of pre-trained (P…

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