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Link to original content: https://doi.org/10.48550/arXiv.2205.00395
[2205.00395] ELQA: A Corpus of Metalinguistic Questions and Answers about English
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Computer Science > Computation and Language

arXiv:2205.00395 (cs)
[Submitted on 1 May 2022 (v1), last revised 3 Jul 2023 (this version, v2)]

Title:ELQA: A Corpus of Metalinguistic Questions and Answers about English

Authors:Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes
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Abstract:We present ELQA, a corpus of questions and answers in and about the English language. Collected from two online forums, the >70k questions (from English learners and others) cover wide-ranging topics including grammar, meaning, fluency, and etymology. The answers include descriptions of general properties of English vocabulary and grammar as well as explanations about specific (correct and incorrect) usage examples. Unlike most NLP datasets, this corpus is metalinguistic -- it consists of language about language. As such, it can facilitate investigations of the metalinguistic capabilities of NLU models, as well as educational applications in the language learning domain. To study this, we define a free-form question answering task on our dataset and conduct evaluations on multiple LLMs (Large Language Models) to analyze their capacity to generate metalinguistic answers.
Comments: Accepted to ACL 2023
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2205.00395 [cs.CL]
  (or arXiv:2205.00395v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2205.00395

Submission history

From: Shabnam Behzad [view email]
[v1] Sun, 1 May 2022 04:29:50 UTC (5,172 KB)
[v2] Mon, 3 Jul 2023 17:42:36 UTC (6,678 KB)
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