Publications

• Ekaterina Kochmar (2021). Essential Natural Language Processing: A friendly introduction using Python. In preparation; to be published by Manning Publications, ISBN 9781617296765. [book] [code]
• Sian Gooding and Ekaterina Kochmar (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, pages 4855–4865, Hong Kong, China, November 3–7, 2019 [paper] [code]
• Sian Gooding and Ekaterina Kochmar (2019). Complex Word Identification as a Sequence Labelling Task. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 1148–1153, Florence, Italy, July 28-August 2, 2019 [paper] [poster] [code]
• Sian Gooding, Ekaterina Kochmar, Advait Sarkar, and Alan Blackwell (2019). Comparative judgments are more consistent than binary classification for labelling word complexity. Proceedings of the 13th Linguistic Annotation Workshop, pages 208–214, Florence, Italy, August 1, 2019 [paper] [poster]
• Menglin Xia, Ekaterina Kochmar and Ted Briscoe (2019). Automatic learner summary assessment for reading comprehension. Proceedings of NAACL-HLT 2019, pages 2532–2542, Minneapolis, Minnesota, June 2-June 7, 2019 [paper] [data]
• Sian Gooding and Ekaterina Kochmar (2018). CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting. In Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, pages 184-194, New Orleans, Louisiana, June 5, 2018 [pdf] [poster] [code]. This paper presents the winning submission to the shared task on Complex Word Identification 2018.
• Ekaterina Kochmar and Ekaterina Shutova (2017). Modelling semantic acquisition in second language learning. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 293–302, Copenhagen, Denmark, September 8, 2017 [pdf] [data]
• Zafar Gilani, Ekaterina Kochmar, Jon Crowcroft (2017). Classification of Twitter Accounts into Automated Agents and Human Users. Proceedings of the 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'17), Sydney, Australia, July 31-August 3, 2017 [pdf]
This research was featured in University of Cambridge research news, International Business Times and Scientific American
• Aurélie Herbelot and Ekaterina Kochmar (2016). 'Calling on the classical phone': a distributional model of adjective-noun errors in learners' English. Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan, December 13-16, 2016 [pdf]
• Ekaterina Kochmar and Ekaterina Shutova (2016). Cross-Lingual Lexico-Semantic Transfer in Language Learning. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 974–983, Berlin, Germany, August 7-12, 2016 [pdf] [poster] [data]
• Menglin Xia, Ekaterina Kochmar and Ted Briscoe (2016). Text Readability Assessment for Second Language Learners. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2016), pages 12–22, San Diego, California, June 16, 2016 [pdf] [data]
• Ekaterina Kochmar (2015). Error Detection in Content Word Combinations. Technical report UCAM-CL-TR-886, Computer Laboratory, University of Cambridge, ISSN 1476-2986 [pdf]
• Ekaterina Kochmar and Ted Briscoe (2015). Using Learner Data to Improve Error Correction in Adjective–Noun Combinations. In Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2015), pages 233–242, Denver, Colorado, June 4, 2015 [pdf] [slides]
• Ekaterina Kochmar and Ted Briscoe (2014). Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics. In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014): Technical Papers, pages 1740–1751, Dublin, Ireland, August 23-29, 2014 [pdf] [slides] [data]
• Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis and Ekaterina Kochmar (2014). Grammatical error correction using hybrid systems and type filtering. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL 2014): Shared Task, pages 15–24, Baltimore, Maryland, 26-27 July 2014 [pdf]
• Ekaterina Kochmar and Ted Briscoe (2013). Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2013), pages 365–372, Hissar, Bulgaria, 7-13 September 2013 [pdf] [slides] [data]
• Ekaterina Kochmar, Øistein Andersen and Ted Briscoe (2012). HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report. In Proceedings of the Seventh Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2012), pages 242–250, Montreal, Canada, June 3-8, 2012 [pdf] [poster]
• Ekaterina Kochmar (2011). Identification of a Writer’s Native Language by Error Analysis. MPhil Dissertation, Computer Laboratory, University of Cambridge [pdf]
• Ekaterina Kochmar (2010). Ensemble-Based Learning for Morphological Analysis of German. M.A. Thesis, University of Tuebingen [pdf]
• Ekaterina Kochmar (2008). Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian. Thesis, St. Petersburg State University
• Ecatherina Kotchmar (2007). La morphologie des adjectifs en gban. Mandenkan 43, pp. 3-11 [pdf]

Talks and Conferences

• Keynote speaker at Allianz SE NLP meetup, Munich, Germany, April 2020
• Keynote at PyData Cambridge 2019 (slides), Cambridge, UK, November 2019
• Invited talk at JPMorgan Chase AI Research Paper Club (slides), London, UK, May 2019
• Invited talk at Psychometrics Seminar, Cambridge, UK, May 2019
• Invited talk at ARM, Cambridge, UK, January 2019
• Invited talk at the Sutton Trust Summer School, Cambridge, UK, August 2018
• Workshop organisation at Cambridge Artificial Intelligence Summit 2018, Cambridge, UK, June 2018
• Invited talk at the ALMAnaCH, Inria, Paris, France, May 2018
• Invited talk at the UCL Linguistics Society (slides), London, UK, February 2018
• Invited talk at AstraZeneca, Cambridge, UK, November 2017
• Workshop organisation at London Data Science Summit, London, UK, October 2017
• Invited talk at the Sutton Trust Summer School, Cambridge, UK, August 2017
• Invited talk at the Cambridge Coding Academy Summer School, Cambridge, UK, July 2017
• Invited talk at the Summer School in Machine Learning for Digital English Language Teaching, Chania, Greece, July 2017
• Invited talk at the Technology Ventures Conference, Cambridge, UK, June 2017
• Invited talk at Cambridge Data Science Summit, Cambridge, UK, June 2017
• Invited talk at Microsoft Research, Cambridge, UK, April 2017
• Invited talk at the University of Copenhagen, Copenhagen, Denmark, October 2016
• Poster presentation at Deep Learning Summer School, Montreal, Canada, August 2016
• Invited talk at Cambridge Data Science Bootcamp, Cambridge, UK, March 2016
• WiML 2015, 10th Annual Workshop for Women in Machine Learning co-located with NIPS (poster), Montreal, Canada, December, 2015
• Invited talk at the University of Warwick (presentation), Warwick, UK, October, 2015
• BEA 2015, the Tenth Workshop on Innovative Use of NLP for Building Educational Applications (presentation), Denver, Colorado, June, 2015
• COLING 2014, the 25th International Conference on Computational Linguistics (presentation), Dublin, Ireland, August, 2014
• English Profile Research seminars (presentations), Cambridge, UK, 2011 - 2013
• RANLP 2013, Recent Advances in Natural Language Processing conference (presentation), Hissar, Bulgaria, September, 2013
• BEA 2012, the Seventh Workshop on Innovative Use of NLP for Building Educational Applications, NAACL-HLT 2012 (poster), Montreal, Canada, June, 2012