PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics

Jordan Meadows, Zili Zhou, André Freitas. PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis, editors, Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022. pages 4611-4619, European Language Resources Association, 2022. [doi]

Abstract

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