Ekaterina Kochmar

97 papers A* 5B 8Misc 1Journal 42Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AITutor-EvalKit: Exploring the Capabilities of AI Tutors. EACL (System Demonstrations) Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar
2026	J	`jnl`	Towards Reward Modeling for AI Tutors in Math Mistake Remediation. CoRR Kseniia Petukhova, Ekaterina Kochmar
2025	—	`conf`	A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models. ACL (Findings) Kseniia Petukhova, Ekaterina Kochmar
2025	J	`jnl`	A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models. CoRR Kseniia Petukhova, Ekaterina Kochmar
2025	J	`jnl`	AITutor-EvalKit: Exploring the Capabilities of AI Tutors. CoRR Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar
2025	J	`jnl`	Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? CoRR KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
2025	J	`jnl`	Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors. CoRR Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Anaïs Tack, Justin Vasselli
2025	B	`conf`	Generative AI for Early Grade Story Generation Using a Self-Reflective Approach. ICALT Taufiq Syed, Aadhith Shankarnarayanan, Yara Kaddoura, Salsabeel Y. Shapsough, Imran A. Zualkernan, Ekaterina Kochmar
2025	J	`jnl`	Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation. CoRR Kseniia Petukhova, Ekaterina Kochmar
2025	—	`conf`	KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan. ACL (1) Mukhammed Togmanov, Nurdaulet Mukhituly, Diana Turmakhan, Jonibek Mansurov, Maiya Goloburda, Akhmed Sakip, Zhuohan Xie, Yuxia Wang, Bekassyl Syzdykov, Nurkhan Laiyk, Alham Fikri Aji, Ekaterina Kochmar, Preslav Nakov, Fajri Koto
2025	J	`jnl`	KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan. CoRR Mukhammed Togmanov, Nurdaulet Mukhituly, Diana Turmakhan, Jonibek Mansurov, Maiya Goloburda, Akhmed Sakip, Zhuohan Xie, Yuxia Wang, Bekassyl Syzdykov, Nurkhan Laiyk, Alham Fikri Aji, Ekaterina Kochmar, Preslav Nakov, Fajri Koto
2025	A*	`conf`	LLMs cannot spot math errors, even when allowed to peek into the solution. EMNLP KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
2025	J	`jnl`	LLMs cannot spot math errors, even when allowed to peek into the solution. CoRR KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
2025	J	`jnl`	Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh. CoRR Fajri Koto, Rituraj Joshi, Nurdaulet Mukhituly, Yuxia Wang, Zhuohan Xie, Rahul Pal, Daniil Orel, Parvez Mullah, Diana Turmakhan, Maiya Goloburda, Mohammed Kamran, Samujjwal Ghosh, Bokang Jia, Jonibek Mansurov, Mukhammed Togmanov, Debopriyo Banerjee, Nurkhan Laiyk, Akhmed Sakip, Xudong Han, Ekaterina Kochmar, Alham Fikri Aji, Aaryamonvikram Singh, Alok Anil Jadhav, Satheesh Katipomu, Samta Kamboj, Monojit Choudhury, Gurpreet Gosal, Gokul Ramakrishnan, Biswajit Mishra, Sarath Chandran, Avraham Sheinin, Natalia Vassilieva, Neha Sengupta, Larry Murray, Preslav Nakov
2025	J	`jnl`	Opportunities and Challenges of LLMs in Education: An NLP Perspective. CoRR Sowmya Vajjala, Bashar Alhafni, Stefano Bannò, Kaushal Kumar Maurya, Ekaterina Kochmar
2025	—	`conf`	Pedagogy-Driven Evaluation of Generative AI-Powered Intelligent Tutoring Systems. AIED Companion (1) Kaushal Kumar Maurya, Ekaterina Kochmar
2025	J	`jnl`	Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems. CoRR Kaushal Kumar Maurya, Ekaterina Kochmar
2025	—	`conf`	SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models. ACL (Findings) Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar
2025	J	`jnl`	Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback. CoRR Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar
2025	—	`conf`	Tailored Tales: Enhancing Children's Reading Comprehension with Preference-Tuned Automatic Story Generation. ICCAI Aadhith Shankarnarayanan, Taufiq Syed, Salsabeel Y. Shapsough, Imran A. Zualkernan, Ekaterina Kochmar
2025	J	`jnl`	UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs? CoRR Mukund Choudhary, KV Aditya Srivatsa, Gaurja Aeron, Antara Raaghavi Bhattacharya, Dang Khoa Dang Dinh, Ikhlasul Akmal Hanif, Daria Kotova, Ekaterina Kochmar, Monojit Choudhury
2025	—	`conf`	Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors. NAACL (Long Papers) Kaushal Kumar Maurya, KV Aditya Srivatsa, Kseniia Petukhova, Ekaterina Kochmar
2025	A*	`conf`	UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment. EMNLP Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Muñoz Sánchez, Lingyun Gao, Melissa Torgbi, Dawn Knight, Gail Forey, Reka R. Jablonkai, Ekaterina Kochmar, Robert Reynolds, Eugénio Ribeiro, Horacio Saggion, Elena Volodina, Sowmya Vajjala, Thomas François, Fernando Alva-Manchego, Harish Tayyar Madabushi
2025	J	`jnl`	UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment. CoRR Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Muñoz Sánchez, Lingyun Gao, Melissa Torgbi, Dawn Knight, Gail Forey, Reka R. Jablonkai, Ekaterina Kochmar, Robert Reynolds, Eugénio Ribeiro, Horacio Saggion, Elena Volodina, Sowmya Vajjala, Thomas François, Fernando Alva-Manchego, Harish Tayyar Madabushi
2025	B	`conf`	What Makes Cryptic Crosswords Challenging for LLMs? COLING Abdelrahman Boda Sadallah, Daria Kotova, Ekaterina Kochmar
2024	J	`jnl`	Are LLMs Good Cryptic Crossword Solvers? CoRR Abdelrahman Boda Sadallah, Daria Kotova, Ekaterina Kochmar
2024	J	`jnl`	Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing. CoRR KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
2024	A*	`conf`	How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. AAAI Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban
2024	J	`jnl`	How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. CoRR Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban
2024	J	`jnl`	LLMs in Education: Novel Perspectives, Challenges, and Opportunities. CoRR Bashar Alhafni, Sowmya Vajjala, Stefano Bannò, Kaushal Kumar Maurya, Ekaterina Kochmar
2024	—	`conf`	PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations. SemEval@NAACL Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar
2024	J	`jnl`	PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations. CoRR Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar
2024	—	`conf`	PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? SemEval@NAACL Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar
2024	J	`jnl`	PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? CoRR Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar
2024	—	`ed.`	Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2024, Mexico City, Mexico, June 20, 2024 BEA Ekaterina Kochmar, Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anaïs Tack, Victoria Yaneva, Zheng Yuan
2024	—	`conf`	REFeREE: A REference-FREE Model-Based Metric for Text Simplification. LREC/COLING Yichen Huang, Ekaterina Kochmar
2024	J	`jnl`	REFeREE: A REference-FREE Model-Based Metric for Text Simplification. CoRR Yichen Huang, Ekaterina Kochmar
2024	J	`jnl`	SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models. CoRR Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar
2024	J	`jnl`	Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors. CoRR Kaushal Kumar Maurya, KV Aditya Srivatsa, Kseniia Petukhova, Ekaterina Kochmar
2024	J	`jnl`	What Makes Cryptic Crosswords Challenging for LLMs? CoRR Abdelrahman Boda Sadallah, Daria Kotova, Ekaterina Kochmar
2024	—	`conf`	What Makes Math Word Problems Challenging for LLMs? NAACL-HLT (Findings) KV Aditya Srivatsa, Ekaterina Kochmar
2024	J	`jnl`	What Makes Math Word Problems Challenging for LLMs? CoRR KV Aditya Srivatsa, Ekaterina Kochmar
2023	—	`conf`	Automatic Readability Assessment for Closely Related Languages. ACL (Findings) Joseph Marvin Imperial, Ekaterina Kochmar
2023	J	`jnl`	Automatic Readability Assessment for Closely Related Languages. CoRR Joseph Marvin Imperial, Ekaterina Kochmar
2023	A*	`conf`	BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages. EMNLP Joseph Marvin Imperial, Ekaterina Kochmar
2023	J	`jnl`	BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages. CoRR Joseph Marvin Imperial, Ekaterina Kochmar
2023	—	`conf`	How Useful Are Educational Questions Generated by Large Language Models? AIED (Posters/Late Breaking Results/...) Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung
2023	J	`jnl`	How Useful are Educational Questions Generated by Large Language Models? CoRR Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung, Iulian Serban
2023	—	`ed.`	Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2023, Toronto, Canada, 13 July 2023. BEA@ACL Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
2023	—	`conf`	The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. BEA@ACL Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech
2023	J	`jnl`	The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. CoRR Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech
2022	J	`jnl`	A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions. CoRR 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
2022	J	`jnl`	Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2022	—	`conf`	Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. PAIS@ECAI Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar
2022	J	`jnl`	Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. CoRR Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar
2022	—	`conf`	Question Personalization in an Intelligent Tutoring System. AIED (2) Sabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie Chi Kit Cheung
2022	J	`jnl`	Question Personalization in an Intelligent Tutoring System. CoRR Sabina Elkins, Robert Belfer, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung
2022	—	`conf`	Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits. AIED (1) Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban
2022	J	`jnl`	Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits. CoRR Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban
2021	—	`conf`	A Comparative Study of Learning Outcomes for Online Learning Platforms. AIED (2) 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
2021	B	`conf`	A New Readability Assessment Tool. EDM Rebecca Watson, Ekaterina Kochmar
2021	J	`jnl`	Comparative Study of Learning Outcomes for Online Learning Platforms. CoRR 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
2021	A*	`conf`	Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. AAAI Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung
2021	J	`jnl`	Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. CoRR Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung
2021	—	`ed.`	Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@EACL, Online, April 20, 2021 BEA@EACL Jill Burstein, Andrea Horbach, Ekaterina Kochmar, Ronja Laarmann-Quante, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch
2021	—	`conf`	Word Complexity is in the Eye of the Beholder. NAACL-HLT Sian Gooding, Ekaterina Kochmar, Seid Muhie Yimam, Chris Biemann
2020	—	`conf`	A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. AIED (2) Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
2020	J	`jnl`	A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. CoRR Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
2020	—	`conf`	Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. AIED (2) Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2020	J	`jnl`	Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. CoRR Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2020	B	`conf`	Detecting Multiword Expression Type Helps Lexical Complexity Assessment. LREC Ekaterina Kochmar, Sian Gooding, Matthew Shardlow
2020	J	`jnl`	Detecting Multiword Expression Type Helps Lexical Complexity Assessment. CoRR Ekaterina Kochmar, Sian Gooding, Matthew Shardlow
2020	—	`conf`	Incorporating Multiword Expressions in Phrase Complexity Estimation. READI@LREC Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar
2020	J	`jnl`	MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. CoRR Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar
2020	—	`conf`	MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. MWE-LEX Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar
2020	—	`ed.`	Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2020, Online, July 10, 2020 BEA@ACL Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch
2020	B	`conf`	SeCoDa: Sense Complexity Dataset. LREC David Strohmaier, Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar
2019	—	`conf`	Automatic learner summary assessment for reading comprehension. NAACL-HLT (1) Menglin Xia, Ekaterina Kochmar, Ted Briscoe
2019	J	`jnl`	Automatic learner summary assessment for reading comprehension. CoRR Menglin Xia, Ekaterina Kochmar, Ted Briscoe
2019	—	`conf`	Comparative judgments are more consistent than binary classification for labelling word complexity. LAW@ACL Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F. Blackwell
2019	—	`conf`	Complex Word Identification as a Sequence Labelling Task. ACL (1) Sian Gooding, Ekaterina Kochmar
2019	—	`ed.`	Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019. BEA@ACL Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
2019	—	`conf`	Recursive Context-Aware Lexical Simplification. EMNLP/IJCNLP (1) Sian Gooding, Ekaterina Kochmar
2019	J	`jnl`	Text Readability Assessment for Second Language Learners. CoRR Menglin Xia, Ekaterina Kochmar, Ted Briscoe
2018	—	`conf`	CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting. BEA@NAACL-HLT Sian Gooding, Ekaterina Kochmar
2018	—	`ed.`	Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, New Orleans, LA, USA, June 5, 2018 BEA@NAACL-HLT Joel R. Tetreault, Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Helen Yannakoudakis
2017	B	`conf`	Classification of Twitter Accounts into Automated Agents and Human Users. ASONAM Zafar Gilani, Ekaterina Kochmar, Jon Crowcroft
2017	—	`conf`	Modelling semantic acquisition in second language learning. BEA@EMNLP Ekaterina Kochmar, Ekaterina Shutova
2016	B	`conf`	'Calling on the classical phone': a distributional model of adjective-noun errors in learners' English. COLING Aurélie Herbelot, Ekaterina Kochmar
2016	—	`conf`	Cross-Lingual Lexico-Semantic Transfer in Language Learning. ACL (1) Ekaterina Kochmar, Ekaterina Shutova
2016	—	`conf`	Text Readability Assessment for Second Language Learners. BEA@NAACL-HLT Menglin Xia, Ekaterina Kochmar, Ted Briscoe
2015	—	`—`	Error detection in content word combinations. Ekaterina Kochmar
2015	—	`conf`	Using Learner Data to Improve Error Correction in Adjective-Noun Combinations. BEA@NAACL-HLT Ekaterina Kochmar, Ted Briscoe
2014	B	`conf`	Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics. COLING Ekaterina Kochmar, Ted Briscoe
2014	—	`conf`	Grammatical error correction using hybrid systems and type filtering. CoNLL Shared Task Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis, Ekaterina Kochmar
2013	Misc	`conf`	Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space. RANLP Ekaterina Kochmar, Ted Briscoe
2012	—	`conf`	HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report. BEA@NAACL-HLT Ekaterina Kochmar, Øistein E. Andersen, Ted Briscoe