Work

MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference

Year: 2024

Type: conference-paper

Abstract: Mobashir Sadat, Cornelia Caragea. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2024.naacl-long.90

Authors: Mobashir Sadat, Cornelia Caragea

Institution: University of Illinois Chicago

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: G6671297155, CAREER: From Data to Knowledge: Extracting and Utilizing Concept Graphs in Online Environments, III: Medium: Collaborative Research: Extracting and Linking AI Artifacts

OpenAlex ID: W4401042607

FWCI: 1.155

Cites:

Cited by: 4

Related to: 10