Benchmarking Sparse and Dense Models for Deception Detection in Negotiation: A Context-Aware and Imbalance-Sensitive Approach

Automatic detection of deceptive intent in negotiation dialogue remains difficult because deceptive utterances are rare, context-dependent, and pragmatically subtle. This study develops a deployment-oriented evaluation pipeline for negotiation analytics using the Diplomacy corpus and compares sparse...

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Principais autores:	Jae-Uk Kim, Beom Jun Go, Hwan Soo Yu, Soo Young Cho
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-04-01
叢編:	Applied Sciences
主題:	deception detection negotiation dialogue diplomacy contextual modeling sparse representations imbalance learning
在線閱讀:	https://www.mdpi.com/2076-3417/16/9/4301
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