PySBD: Pragmatic Sentence Boundary Disambiguation

Pragmatic constraints and pronoun reference disambiguation: the possible and the impossible

Pronoun disambiguation in understanding text and discourse often requires the application of both general pragmatic knowledge and context-specific information. In AI and linguistics research, this has mostly been studied in cases where the referent is explicitly stated in the preceding text nearby. However, pronouns in natural text often refer to entities, collections, or events that are only implicitly mentioned previously; in those cases the need to use pragmatic knowledge to disambiguate becomes much more acute and the characterization of the knowledge becomes much more difficult. Extended …

PleaSQLarify: 自然语言数据库查询中的视觉语用修复

PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying

PleaSQLarify通过视觉交互和可解释决策变量实现自然语言数据库查询中的语用修复，提升用户对歧义的控制与解决效率。

EMODIS：大语言模型中上下文相关表情符号消歧的基准

EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models

本文提出EMODIS基准，通过最小对比文本上下文评估大语言模型对歧义表情符号的消歧能力，发现最强模型仍存在系统性偏见和语用敏感性不足，揭示了人机语义推理差距。

Speech Intention Understanding in a Head-final Language: A Disambiguation Utilizing Intonation-dependency

For a large portion of real-life utterances, the intention cannot be solely decided by either their semantic or syntactic characteristics. Although not all the sociolinguistic and pragmatic information can be digitized, at least phonetic features are indispensable in understanding the spoken language. Especially in head-final languages such as Korean, sentence-final prosody has great importance in identifying the speaker's intention. This paper suggests a system which identifies the inherent intention of a spoken utterance given its transcript, in some cases using auxiliary acoustic features. …