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ORCIDEkaterina Kochmar
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[c37]Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban:
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. AAAI 2024: 23084-23091- [c36]Yichen Huang, Ekaterina Kochmar:
REFeREE: A REference-FREE Model-Based Metric for Text Simplification. LREC/COLING 2024: 13740-13753 - [c35]KV Aditya Srivatsa, Ekaterina Kochmar:
What Makes Math Word Problems Challenging for LLMs? NAACL-HLT (Findings) 2024: 1138-1148 - [c34]Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations. SemEval@NAACL 2024: 1127-1134 - [c33]Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? SemEval@NAACL 2024: 1140-1147 - [e6]Ekaterina Kochmar, Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anaïs Tack, Victoria Yaneva, Zheng Yuan:
Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2024, Mexico City, Mexico, June 20, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-100-1 [contents] - [i25]Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban:
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. CoRR abs/2401.05914 (2024) - [i24]KV Aditya Srivatsa, Ekaterina Kochmar:
What Makes Math Word Problems Challenging for LLMs? CoRR abs/2403.11369 (2024) - [i23]Abdelrahman "Boda" Sadallah, Daria Kotova, Ekaterina Kochmar:
Are LLMs Good Cryptic Crossword Solvers? CoRR abs/2403.12094 (2024) - [i22]Yichen Huang, Ekaterina Kochmar:
REFeREE: A REference-FREE Model-Based Metric for Text Simplification. CoRR abs/2403.17640 (2024) - [i21]Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? CoRR abs/2404.05483 (2024) - [i20]Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations. CoRR abs/2404.05502 (2024) - [i19]KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar:
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing. CoRR abs/2405.00467 (2024) - [i18]Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar:
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models. CoRR abs/2408.08545 (2024) - [i17]Bashar Alhafni, Sowmya Vajjala, Stefano Bannò, Kaushal Kumar Maurya, Ekaterina Kochmar:
LLMs in Education: Novel Perspectives, Challenges, and Opportunities. CoRR abs/2409.11917 (2024) - 2023
- [c32]Joseph Marvin Imperial, Ekaterina Kochmar:
Automatic Readability Assessment for Closely Related Languages. ACL (Findings) 2023: 5371-5386 - [c31]Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
How Useful Are Educational Questions Generated by Large Language Models? AIED (Posters/Late Breaking Results/...) 2023: 536-542 - [c30]Anaïs Tack, Ekaterina Kochmar, Zheng Yuan
, Serge Bibauw, Chris Piech:
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. BEA@ACL 2023: 785-795 - [c29]Joseph Marvin Imperial, Ekaterina Kochmar:
BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages. EMNLP 2023: 6302-6309 - [e5]Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch:
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2023, Toronto, Canada, 13 July 2023. Association for Computational Linguistics 2023 [contents] - [i16]Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung, Iulian Serban:
How Useful are Educational Questions Generated by Large Language Models? CoRR abs/2304.06638 (2023) - [i15]Joseph Marvin Imperial, Ekaterina Kochmar:
Automatic Readability Assessment for Closely Related Languages. CoRR abs/2305.13478 (2023) - [i14]Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech:
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. CoRR abs/2306.06941 (2023) - [i13]Joseph Marvin Imperial, Ekaterina Kochmar:
BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages. CoRR abs/2310.11584 (2023) - 2022
- [j1]Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 32(2): 323-349 (2022) - [c28]Sabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. AIED (2) 2022: 586-590 - [c27]Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban:
Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits. AIED (1) 2022: 724-730 - [c26]Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar:
Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. PAIS@ECAI 2022: 17-30 - [i12]François St-Hilaire, Dung Do Vu, Antoine Frau, Nathan Burns, Farid Faraji, Joseph Potochny, Stephane Robert, Arnaud Roussel, Selene Zheng, Taylor Glazier, Junfel Vincent Romano, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Tommy Delarosbil, Seulmin Ahn, Simon Eden-Walker, Kritika Sony, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Victor Chen, Hossein Sahraei, Robert Larson, Nadia Markova, Andrew Barkett, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar:
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions. CoRR abs/2203.03724 (2022) - [i11]Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar:
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. CoRR abs/2206.04187 (2022) - [i10]Sabina Elkins, Robert Belfer, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. CoRR abs/2206.14145 (2022) - [i9]Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban:
Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits. CoRR abs/2207.14003 (2022) - 2021
- [c25]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. AAAI 2021: 15534-15544 - [c24]François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar:
A Comparative Study of Learning Outcomes for Online Learning Platforms. AIED (2) 2021: 331-337 - [c23]Rebecca Watson, Ekaterina Kochmar:
A New Readability Assessment Tool. EDM 2021 - [c22]Sian Gooding, Ekaterina Kochmar, Seid Muhie Yimam, Chris Biemann:
Word Complexity is in the Eye of the Beholder. NAACL-HLT 2021: 4439-4449 - [e4]Jill Burstein, Andrea Horbach, Ekaterina Kochmar, Ronja Laarmann-Quante, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch:
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@EACL, Online, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-11-4 [contents] - [i8]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. CoRR abs/2103.07785 (2021) - [i7]François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar:
Comparative Study of Learning Outcomes for Online Learning Platforms. CoRR abs/2104.07763 (2021) - 2020
- [c21]Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. AIED (2) 2020: 140-146 - [c20]Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio:
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. AIED (2) 2020: 387-392 - [c19]Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar:
Incorporating Multiword Expressions in Phrase Complexity Estimation. READI@LREC 2020: 14-19 - [c18]Ekaterina Kochmar, Sian Gooding, Matthew Shardlow:
Detecting Multiword Expression Type Helps Lexical Complexity Assessment. LREC 2020: 4426-4435 - [c17]David Strohmaier, Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar:
SeCoDa: Sense Complexity Dataset. LREC 2020: 5962-5967 - [c16]Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar:
MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. MWE-LEX 2020: 142-148 - [e3]Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch:
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2020, Online, July 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-18-7 [contents] - [i6]Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. CoRR abs/2005.02431 (2020) - [i5]Ekaterina Kochmar, Sian Gooding, Matthew Shardlow:
Detecting Multiword Expression Type Helps Lexical Complexity Assessment. CoRR abs/2005.05692 (2020) - [i4]Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio:
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. CoRR abs/2005.06616 (2020) - [i3]Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar:
MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. CoRR abs/2011.02541 (2020)
2010 – 2019
- 2019
- [c15]Sian Gooding, Ekaterina Kochmar:
Complex Word Identification as a Sequence Labelling Task. ACL (1) 2019: 1148-1153 - [c14]Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F. Blackwell:
Comparative judgments are more consistent than binary classification for labelling word complexity. LAW@ACL 2019: 208-214 - [c13]Sian Gooding, Ekaterina Kochmar:
Recursive Context-Aware Lexical Simplification. EMNLP/IJCNLP (1) 2019: 4852-4862 - [c12]Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Automatic learner summary assessment for reading comprehension. NAACL-HLT (1) 2019: 2532-2542 - [e2]Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-34-5 [contents] - [i2]Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Automatic learner summary assessment for reading comprehension. CoRR abs/1906.07555 (2019) - [i1]Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Text Readability Assessment for Second Language Learners. CoRR abs/1906.07580 (2019) - 2018
- [c11]Sian Gooding, Ekaterina Kochmar:
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting. BEA@NAACL-HLT 2018: 184-194 - [e1]Joel R. Tetreault, Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Helen Yannakoudakis:
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, New Orleans, LA, USA, June 5, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-11-7 [contents] - 2017
- [c10]Zafar Gilani, Ekaterina Kochmar, Jon Crowcroft:
Classification of Twitter Accounts into Automated Agents and Human Users. ASONAM 2017: 489-496 - [c9]Ekaterina Kochmar, Ekaterina Shutova:
Modelling semantic acquisition in second language learning. BEA@EMNLP 2017: 293-302 - 2016
- [c8]Ekaterina Kochmar, Ekaterina Shutova:
Cross-Lingual Lexico-Semantic Transfer in Language Learning. ACL (1) 2016 - [c7]Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Text Readability Assessment for Second Language Learners. BEA@NAACL-HLT 2016: 12-22 - [c6]Aurélie Herbelot, Ekaterina Kochmar:
'Calling on the classical phone': a distributional model of adjective-noun errors in learners' English. COLING 2016: 976-986 - 2015
- [b1]Ekaterina Kochmar:
Error detection in content word combinations. University of Cambridge, UK, 2015 - [c5]Ekaterina Kochmar, Ted Briscoe:
Using Learner Data to Improve Error Correction in Adjective-Noun Combinations. BEA@NAACL-HLT 2015: 233-242 - 2014
- [c4]Ekaterina Kochmar, Ted Briscoe:
Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics. COLING 2014: 1740-1751 - [c3]Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis, Ekaterina Kochmar:
Grammatical error correction using hybrid systems and type filtering. CoNLL Shared Task 2014: 15-24 - 2013
- [c2]Ekaterina Kochmar, Ted Briscoe:
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space. RANLP 2013: 365-372 - 2012
- [c1]Ekaterina Kochmar, Øistein E. Andersen, Ted Briscoe:
HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report. BEA@NAACL-HLT 2012: 242-250
Coauthor Index
Iulian Serban
aka: Iulian Vlad Serban
aka: Iulian Vlad Serban
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last updated on 2024-10-18 19:28 CEST by the dblp team
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