Textual Entailment — Natural Language Inference (NLI)
Textual entailment, also known as natural language inference (NLI), is the natural-language-processing task of deciding whether one piece of text (the premise) entails a second piece of text (the hypothesis), contradicts it, or is neutral with respect to it. Formalised by the PASCAL Recognising Textual Entailment Challenge (Dagan, Glickman & Magnini, 2006) and broadened by the MultiNLI corpus (Williams, Nangia & Bowman, 2018), it underpins question answering and fact-verification pipelines.
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Zdroje
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ScholarGate. (2026, June 1). Textual Entailment (Natural Language Inference, NLI). ScholarGate. https://scholargate.app/cs/text-mining/textual-entailment
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