mlsanityData to 14 Oct 2026

ELQA: A Corpus of Metalinguistic Questions and Answers about English

arXiv 2205.00395 ↗First posted 1 May 2022cs.CLcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 20 of its 50 references that are in the map. First posted on arXiv 1 May 2022.

Builds on

20 of 50 references.

References · 20

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  12. 2020DoQA -- Accessing Domain-Specific FAQs via Conversational QAcited by 42
8 more
  1. 2021Bidimensional Leaderboards: Generate and Evaluate Language Hand in Handcited by 32
  2. 2020ClarQ: A large-scale and diverse dataset for Clarification Question Generationcited by 31
  3. 2019Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Datasetcited by 26
  4. 2018Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Inputcited by 16
  5. 2019SemEval-2017 Task 3: Community Question Answeringcited by 13
  6. 2018Learning to Automatically Generate Fill-In-The-Blank Quizzescited by 4
  7. 2013Want a Good Answer? Ask a Good Question First!cited by 3
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 1; 2026: 2.

8 papers.

  1. 2023Large Linguistic Models: Investigating LLMs' metalinguistic abilitiescited by 18
  2. 2024I am a Strange Dataset: Metalinguistic Tests for Language Modelscited by 10
  3. 2024Natural Language Processing RELIES on Linguisticscited by 9
  4. 2024Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMscited by 5
  5. 2025Prompting from the bench: Large-scale pretraining is not sufficient to prepare LLMs for ordinary meaning analysiscited by 4
  6. 2023CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinionscited by 2
  7. 2026Speaking of Language: Reflections on Metalanguage Research in NLPcited by 1
  8. 2026Evaluating Metalinguistic Knowledge in Large Language Models across the World's Languagescited by 0