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 …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …

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 …

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

Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of
events need to be identified and clustered throughout a collection of documents. CDCR …

Communicating efficiently in natural language requires that we often leave information
implicit, especially in spontaneous speech. This frequently results in phenomena of …

Chinese zero pronoun (ZP) resolution plays a critical role in discourse analysis. Different
from traditional mention-to-mention approaches, this article proposes a chain-to-chain …

We take a novel approach to zero pronoun resolution in Chinese: our model explicitly tracks
the flow of focus in a discourse. Our approach, which generalizes to deictic references, is not …

Pro-drop languages such as Arabic, Chinese, Italian or Japanese allow morphologically null
but referential arguments in certain syntactic positions, called anaphoric zero-pronouns …