| Text readability assessment for second language learners M Xia, E Kochmar, T Briscoe arXiv preprint arXiv:1906.07580, 2019 | 202 | 2019 |
| Grammatical error correction using hybrid systems and type filtering M Felice, Z Yuan, ØE Andersen, H Yannakoudakis, E Kochmar Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 147 | 2014 |
| Classification of twitter accounts into automated agents and human users Z Gilani, E Kochmar, J Crowcroft Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017 | 125 | 2017 |
| Automated personalized feedback improves learning gains in an intelligent tutoring system E Kochmar, DD Vu, R Belfer, V Gupta, IV Serban, J Pineau Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 63 | 2020 |
| CAMB at CWI shared task 2018: Complex word identification with ensemble-based voting S Gooding, E Kochmar Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018 | 59 | 2018 |
| Complex word identification as a sequence labelling task S Gooding, E Kochmar Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 55 | 2019 |
| Identification of a writer’s native language by error analysis E Kochmar Master’s thesis, University of Cambridge, 2011 | 53 | 2011 |
| Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems E Kochmar, DD Vu, R Belfer, V Gupta, IV Serban, J Pineau International Journal of Artificial Intelligence in Education 32 (2), 323-349, 2022 | 38 | 2022 |
| How useful are educational questions generated by large language models? S Elkins, E Kochmar, I Serban, JCK Cheung International Conference on Artificial Intelligence in Education, 536-542, 2023 | 37 | 2023 |
| Recursive context-aware lexical simplification S Gooding, E Kochmar Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 37 | 2019 |
| A new era: Intelligent tutoring systems will transform online learning for millions F St-Hilaire, DD Vu, A Frau, N Burns, F Faraji, J Potochny, S Robert, ... arXiv preprint arXiv:2203.03724, 2022 | 33 | 2022 |
| MTLB-STRUCT@ parseme 2020: Capturing unseen multiword expressions using multi-task learning and pre-trained masked language models S Taslimipoor, S Bahaadini, E Kochmar arXiv preprint arXiv:2011.02541, 2020 | 24 | 2020 |
| Detecting learner errors in the choice of content words using compositional distributional semantics E Kochmar, T Briscoe Association for Computational Linguistics, 2014 | 23 | 2014 |
| Deep discourse analysis for generating personalized feedback in intelligent tutor systems M Grenander, R Belfer, E Kochmar, IV Serban, F St-Hilaire, JCK Cheung Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15534 …, 2021 | 22 | 2021 |
| Word complexity is in the eye of the beholder S Gooding, E Kochmar, SM Yimam, C Biemann Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 18 | 2021 |
| Detecting multiword expression type helps lexical complexity assessment E Kochmar, S Gooding, M Shardlow arXiv preprint arXiv:2005.05692, 2020 | 16 | 2020 |
| Capturing anomalies in the choice of content words in compositional distributional semantic space E Kochmar, T Briscoe Proceedings of the International Conference Recent Advances in Natural …, 2013 | 13 | 2013 |
| The BEA 2023 shared task on generating AI teacher responses in educational dialogues A Tack, E Kochmar, Z Yuan, S Bibauw, C Piech arXiv preprint arXiv:2306.06941, 2023 | 12 | 2023 |
| Hoo 2012 error recognition and correction shared task: Cambridge university submission report E Kochmar, O Andersen, E Briscoe Association for Computational Linguistics, 2012 | 12 | 2012 |
| ‘Calling on the classical phone’: a distributional model of adjective-noun errors in learners’ English A Herbelot, E Kochmar Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 11 | 2016 |
Iulian Vlad SerbanUniversity of MontrealVerified email at umontreal.ca
