Ekaterina Kochmar
Ekaterina Kochmar has 4 papers in our library, in 2016–2026, most of them on Language models & pretraining, Grammatical error correction & learner language, English; often with Kaushal Kumar Maurya, Aurélie Herbelot, Bashar Alhafni.
OpenAlex · ORCID · Wikidata · h-index 15 · 111 works · 1,019 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 253 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #5436
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 worksInformation Systems · 2 worksComputer Science Applications · 1 work
🧭 Topics 3Research subjects and languages the work is about.Grammatical error correction & learner language · 1 workEnglish · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
2010s
Papers
- Text Readability Assessment for Second Language Learners (2016 · 222 citations)
The paper addresses automatic readability grading for learners of English as a second language. The main obstacle is that almost all level-annotated corpora target native-speaking children, and their levels reflect native criteria. The authors build a small CEFR-graded set of reading passages from Cambridge English… - ‘Calling on the classical phone': a distributional model of adjective-noun errors in learners' English (2016 · 5 citations)
The paper tackles detecting wrong adjective choices in English written by learners, where an adjective is misused in its context of use (e.g. - AITutor-EvalKit: Exploring the Capabilities of AI Tutors (2026 · 2 citations)
AITutor-EvalKit is an open-source toolkit for judging the pedagogical quality of LLM-based tutors. Educators currently struggle to trust these systems, partly because no tool assesses tutor responses on the fly. The toolkit targets Student Mistake Remediation in middle-school math dialogues. It scores a tutor's reply… - Opportunities and Challenges of LLMs in Education: An NLP Perspective (2026)
This position-and-survey paper looks at how large language models are changing educational NLP. Earlier overviews were mostly aimed at education-technology readers or covered only narrow areas such as writing assessment. The authors instead write for NLP researchers and tie recent LLM work back to older lines of NLP…
All works
- Text Readability Assessment for Second Language LearnersWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Menglin Xia, Ekaterina Kochmar, Ted Briscoe2016 · 222 citations
- Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System ↗Lecture Notes in Computer Science · no summary yetEkaterina Kochmar et al.2020 · 105 citations
- Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetKaushal Kumar Maurya et al.2025 · 53 citations
- The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues ↗Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · no summary yetAnaïs Tack et al.2023 · 51 citations
- Recursive Context-Aware Lexical Simplification ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetSian Gooding, Ekaterina Kochmar2019 · 45 citations
- Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors ↗Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025) · no summary yetEkaterina Kochmar et al.2025 · 36 citations
- What Makes Math Word Problems Challenging for LLMs? ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetKv Aditya Srivatsa, Ekaterina Kochmar2024 · 26 citations
- REFeREE: A REference-FREE Model-Based Metric for Text Simplification ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetYichen Huang, Ekaterina Kochmar2024 · 10 citations
- ‘Calling on the classical phone': a distributional model of adjective-noun errors in learners' EnglishInternational Conference on Computational Linguistics (COLING)Aurélie Herbelot, Ekaterina Kochmar2016 · 5 citations
- AITutor-EvalKit: Exploring the Capabilities of AI TutorsConference of the European Chapter of the Association for Computational Linguistics (EACL)Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2026 · 2 citations
- Cross-Lingual Lexico-Semantic Transfer in Language Learning ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetEkaterina Kochmar, Ekaterina Shutova2016 · 2 citations
- Towards Reward Modeling for AI Tutors in Math Mistake Remediation ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetKseniia Petukhova, Ekaterina Kochmar2026 · 1 citation
- Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
- ComplexityMT: Benchmarking the Interaction Between Text Complexity and Machine Translation ↗arXiv:2606.05421 · no summary yetJoseph Marvin Imperial et al.2026
- Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation ↗Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) · no summary yetKseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar2026
Co-authors here
- Kaushal Kumar Maurya ×2
- Aurélie Herbelot
- Bashar Alhafni
- Menglin Xia
- Numaan Naeem
- Sowmya Vajjala
- Stefano Banno
- Ted Briscoe
Venues
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA) ×5: BEA 2026, BEA 2016
- International Conference on Computational Linguistics (COLING): COLING 2016
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Findings of the Association for Computational Linguistics: NAACL 2024
- Lecture Notes in Computer Science
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Proceedings of the Fifteenth Language Resources and Evaluation Conference
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