PhD student at the University of Cambridge studying NLP
My PhD research focuses on readability and text simplification – the study of how to automatically adapt text to suit the needs of different audiences. For researchers who are interested in this topic please join the TS research slack group! I also co-host a text simplification reading group and you can subscribe to the Google calendar here:
Article A journey to Cambridge on 'the road less travelled' - Cambridge Computer Laboratory Article
Video Cambridge Conversations: Interview with remarkable students whose research is potentially life-changing and even world-changing
Gooding, Sian, and Ekaterina Kochmar. "Recursive context-aware lexical simplification." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019.
Gooding, Sian, and Ekaterina Kochmar. "Complex word identification as a sequence labelling task." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.
Gooding, Sian, and Ekaterina Kochmar. "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, 2018.
This paper presents the winning submission to the shared task on Complex Word Identification 2018
Text Complexity is in the Eye of the Beholder - NLP with Friends 2021
Predicting Text Readability and Reading Comprehension from Reading Interactions
Cambridge NLIP Seminar Series 2020
Successful Women in Tech
Women in Technology Society, University of Birmingham 2020