Ekaterina Kochmar

Orcid: 0000-0003-3328-1374

Affiliations:
  • University of Cambridge, UK


According to our database1, Ekaterina Kochmar authored at least 39 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
REFeREE: A REference-FREE Model-Based Metric for Text Simplification.
CoRR, 2024

Are LLMs Good Cryptic Crossword Solvers?
CoRR, 2024

What Makes Math Word Problems Challenging for LLMs?
CoRR, 2024

How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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, 2023

How Useful Are Educational Questions Generated by Large Language Models?
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Automatic Readability Assessment for Closely Related Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions.
CoRR, 2022

Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems.
Int. J. Artif. Intell. Educ., 2022

Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems.
Proceedings of the PAIS 2022, 2022

Question Personalization in an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Word Complexity is in the Eye of the Beholder.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A New Readability Assessment Tool.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

A Comparative Study of Learning Outcomes for Online Learning Platforms.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models.
Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, 2020

SeCoDa: Sense Complexity Dataset.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Detecting Multiword Expression Type Helps Lexical Complexity Assessment.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Incorporating Multiword Expressions in Phrase Complexity Estimation.
Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties, 2020

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Automatic learner summary assessment for reading comprehension.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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, 2019

Comparative judgments are more consistent than binary classification for labelling word complexity.
Proceedings of the 13th Linguistic Annotation Workshop, 2019

Complex Word Identification as a Sequence Labelling Task.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting.
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017
Modelling semantic acquisition in second language learning.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Classification of Twitter Accounts into Automated Agents and Human Users.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
'Calling on the classical phone': a distributional model of adjective-noun errors in learners' English.
Proceedings of the COLING 2016, 2016

Text Readability Assessment for Second Language Learners.
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

Cross-Lingual Lexico-Semantic Transfer in Language Learning.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Error detection in content word combinations.
PhD thesis, 2015

Using Learner Data to Improve Error Correction in Adjective-Noun Combinations.
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015

2014
Grammatical error correction using hybrid systems and type filtering.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics.
Proceedings of the COLING 2014, 2014

2013
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space.
Proceedings of the Recent Advances in Natural Language Processing, 2013

2012
HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012


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