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Lexicosyntactic Inference in Neural Models

arXiv 1808.06232 ↗First posted 19 Aug 2018cs.CLcited by 14

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Abstract (arXiv)

We investigate neural models' ability to capture lexicosyntactic inferences: inferences triggered by the interaction of lexical and syntactic information. We take the task of event factuality prediction as a case study and build a factuality judgment dataset for all English clause-embedding verbs in various syntactic contexts. We use this dataset, which we make publicly available, to probe the behavior of current state-of-the-art neural systems, showing that these systems make certain systematic errors that are clearly visible through the lens of factuality prediction.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Aug 2018.

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Citing papers per year: 2021: 6; 2022: 0; 2023: 3; 2024: 1; 2025: 3; 2026: 1.

14 papers.

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