Improving the Automatic Detection of Word Meaning Negotiation Indicators in Conversation through Active Learning

Contexte et atouts du poste

Place of work: INRIA Paris, ALMAnaCH project-team

Starting date: From June 2026 (flexible)Duration: 6 months

ContextIn conversation, speakers sometimes signal that a word or expression is unclear or disputed, leading to short exchanges where meaning is clarified or negotiated. This internship focuses on improving the automatic detection of such interactions in conversational data. Building on existing models, the project will explore active learning to efficiently improve detection performance with limited annotation. The work aims to support the large-scale analysis of meaning-related misunderstandings and may result in improved models, new annotated data, and insights on current models’ capabilities.

Keywords: natural language processing, word meaning (negotiation), computational lexical semantics, semantic alignment, semantic coordination, interactional linguistics, misu...