Research output per year
Research output per year
Personal profile
Fields of Science
- 113 Computer and information sciences
International and National Collaboration
Publications and projects within past five years.
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Grammatical Error Correction for Sentence-level Assessment in Language Learning
Katinskaia, A. & Yangarber, R., Jul 2023, Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications. Kochmar, E., Burstein, J. & Horbach, et al., A. (eds.). Stroudsburg: The Association for Computational Linguistics, p. 488–502 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring
Katinskaia, A., Hou, J., Vu Anh, D. & Yangarber, R., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Stroudsburg: Association for Computational Linguistics (ACL), p. 136-144 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Applying gamification incentives in the Revita language-learning system
Hou, J., Kylliäinen, I. P., Katinskaia, A., Furlan, G. & Yangarber, R., 2022, Proceedings of the 9th Games and Natural Language Processing Workshop . Madge, C. (ed.). Paris: European Language Resources Association (ELRA), p. 7-16 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Semi-automatically Annotated Learner Corpus for Russian
Katinskaia, A., Lebedeva, M., Hou, J. & Yangarber, R., 2022, Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022). Calzolari, N., Béchet, F. & Blache, et al., P. (eds.). Paris: European Language Resources Association (ELRA), p. 832-839 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Assessing Grammatical Correctness in Language Learning
Katinskaia, A. & Yangarber, R., Apr 2021, Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications. Stroudsburg: The Association for Computational Linguistics, p. 135-146 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
Projects
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LLL: Language Learning Lab
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Project: Research project
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Revita: Language learning and AI
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Project: Research project
Prizes
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Best Paper Award
Yangarber, Roman (Recipient) & Katinskaia, Anisia (Recipient), 1 May 2018
Prize: Prizes and awards
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Outstanding paper award
Katinskaia, Anisia (Recipient) & Yangarber, Roman (Recipient), 2023
Prize: Prizes and awards
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The Open Science Award
Yangarber, Roman (Recipient) & Katinskaia, Anisia (Recipient), 1 May 2018
Prize: Prizes and awards
Activities
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Lisbon Machine Learning School 2021
Anisia Katinskaia (Attendee)
7 Jul 2021 → 15 Jul 2021Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Assessing Grammatical Correctness in the Context of Language Learning: The Case of Russian
Anisia Katinskaia (Speaker)
1 Nov 2021 → 2 Nov 2021Activity: Talk or presentation types › Invited talk
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Lisbon Machine Learning School 2020
Anisia Katinskaia (Attendee)
21 Jul 2020 → 29 Jul 2020Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Assessing Grammatical Correctness in the Context of Language Learning: The Case of Russian
Anisia Katinskaia (Speaker)
26 Nov 2020Activity: Talk or presentation types › Oral presentation
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Detecting grammatically correct sentences for online language learning
Anisia Katinskaia (Speaker)
Mar 2020Activity: Talk or presentation types › Invited talk