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Michael Flor

Michael Flor has 3 papers in our library, in 2018–2025, most of them on Idioms & multiword expressions, English, Evaluation & benchmarks; often with Alla Rozovskaya, Anna Feldman, Beata Beigman Klebanov.

3 papers in our library · 2018–2025

OpenAlex · ORCID · h-index 23 · 82 works · 1,116 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 87 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6991

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🤝Educational Testing ServicePrinceton · United States2010–2026 · 60 papersEmployment · Senior Research Scientist, ETS Research Institute (previosly called R&D Division)current

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 2 worksIdioms & multiword expressions · 2 worksEvaluation & benchmarks · 1 workGrammatical error correction & learner language · 1 workPsycholinguistics & language acquisition · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Psycholinguistics · 1 work

 Works by year

2020s

20251 paper

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Corpus of Non-Native Written English Annotated for Metaphor (2018 · 45 citations)
    Supervised metaphor detection has mostly been trained and tested on the VUA corpus, which draws on BNC text.
  2. A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction (2019 · 39 citations)
    Non-word spelling correction has a long research history, but systems have mostly been tested on synthetic typos or closed datasets, so results are hard to compare.
  3. A Survey of Idiom Datasets for Psycholinguistic and Computational Research (2025 · 5 citations)
    Idioms are hard for NLP systems and tricky for human experiments. Their figurative sense often cannot be derived from the component words, and one phrase can be literal in one context and figurative in another. Resources for studying idioms come from two fields and vary in annotation, languages, idiom types and size…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Semantic classifications for detection of verb metaphors ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetBeata Beigman Klebanov et al.2016 · 110 citations
  2. Four types of context for automatic spelling correction ↗no summary yetFlor, Michael2012 · 56 citations
  3. A Corpus of Non-Native Written English Annotated for MetaphorConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Beata Beigman Klebanov, Chee Wee (Ben) Leong, Michael Flor2018 · 45 citations
  4. A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling CorrectionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Michael Flor, Michael Fried, Alla Rozovskaya2019 · 39 citations
  5. A Survey of Idiom Datasets for Psycholinguistic and Computational ResearchConference on Natural Language ProcessingMichael Flor, Xinyi Liu, Anna Feldman2025 · 5 citations

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

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