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MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
April 15, 2024, 4:46 a.m. | Mobashir Sadat, Cornelia Caragea
cs.CL updates on arXiv.org arxiv.org
Abstract: The task of scientific Natural Language Inference (NLI) involves predicting the semantic relation between two sentences extracted from research articles. This task was recently proposed along with a new dataset called SciNLI derived from papers published in the computational linguistics domain. In this paper, we aim to introduce diversity in the scientific NLI task and present MSciNLI, a dataset containing 132,320 sentence pairs extracted from five new scientific domains. The availability of multiple domains makes …
abstract aim articles arxiv benchmark computational cs.cl dataset diverse domain inference language linguistics natural natural language paper papers research scientific semantic type
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