Google DeepMind Research Scientist
My PhD research is on text readability and simplification – the study of how to automatically adapt text to suit the needs of different audiences.
For an up to date publication list see my Google Scholar.
Gooding, Sian, Yevgeni Berzak, Tony Mak, and Matt Sharifi. "Predicting Text Readability from Scrolling Interactions." In Proceedings of the 25rd Conference on Computational Natural Language Learning (CoNLL). 2021.
Gooding, Sian, Ekaterina Kochmar, Seid Muhie Yimam, and Chris Biemann. "Word Complexity is in the Eye of the Beholder." In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
Kochmar, Ekaterina, Sian Gooding, and Matthew Shardlow. "Detecting Multiword Expression Type Helps Lexical Complexity Assessment." In Proceedings of The 12th Language Resources and Evaluation Conference. 2020.
Strohmaier, David, Sian Gooding, Shiva Taslimipoor, and Ekaterina Kochmar. "SeCoDa: Sense Complexity Dataset." In Proceedings of The 12th Language Resources and Evaluation Conference. 2020.
Gooding, Sian, Shiva Taslimipoor, and Ekaterina Kochmar. "Incorporating Multiword Expressions in Phrase Complexity Estimation." In Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI). 2020.
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, Ekaterina Kochmar, Advait Sarkar, and Alan Blackwell. "Comparative judgments are more consistent than binary classification for labelling word complexity." In Proceedings of the 13th Linguistic Annotation Workshop. 2019.
Gooding, Sian, and Ted Briscoe. "Active Learning for Financial Investment Reports." In Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019). 2019.
Gooding, Sian. "Complex Word Identification." MPhil Thesis, University of Cambridge. 2018.
This project won the Google thesis award
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
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
Predicting readability from scroll behaviour
Cambridge Computer Laboratory TechTalk 2020
Complex or not? Group dependent complex word identification
Cambridge Assessment 2020
Text Simplification - to simplify, or not to
simplify, that is the question
Jesus College Language and Lingustics Forum 2020
Contextual Text Simplification
Cambridge Assessment 2019
Automatic Text Simplification
Cambridge Computer Laboratory TechTalk 2019
Active Learning: Data Quality over Quantity
Cambridge Data Science Symposium 2018
Active Learning Techniques
University of Cambridge 2018
Complex Word Identification
Oxbridge Women in Computer Science 2018