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PhysNLU: A Language Resource for Evaluating Natural Language
  Understanding and Explanation Coherence in Physics
v1v2v3 (latest)

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

12 January 2022
Jordan Meadows
Zili Zhou
André Freitas
    AIMat
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
Handling Symbolic Language in Student Texts: A Comparative Study of NLP Embedding Models
Handling Symbolic Language in Student Texts: A Comparative Study of NLP Embedding Models
Tom Bleckmann
Paul Tschisgale
177
0
0
23 May 2025
A Survey in Mathematical Language Processing
A Survey in Mathematical Language Processing
Jordan Meadows
André Freitas
AIMat
63
16
0
30 May 2022
1