2021
(2021) Natural language processing for mental disorders: an overview, CRC Press, url
2020
(2020) Using natural language processing to predict item response times and improve test construction, Journal of Educational Measurement 2020(AM), p. 1-27, Wiley, url, doi:10.1111/jedm.12264
(2020) Autism detection based on eye movement sequences on the web: a scanpath trend analysis approach(AM), C Duarte, T Drake, F Hwang, C Lewis (ed.), p. 11:1-11:1, ACM, url, doi:10.1145/3371300.3383340
(2020) “Keep it simple!”: an eye-tracking study for exploring complexity and distinguishability of web pages for people with autism, Universal Access in the Information Society(AM), Springer Science and Business Media LLC, url, doi:10.1007/s10209-020-00708-9
(2020) Automated prediction of examinee proficiency from short-answer questions, the 28th International Conference on Computational Linguistics(VoR), Online: International Committee on Computational Linguistics, url
(2020) Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning, INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS, p. 193-197, url
(2020) Classifying Referential and Non-referential It Using Gaze., CoRR abs/2006.13327
(2020) Predicting item survival for multiple choice questions in a high-stakes medical exam, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, p. 6812-6818
(2020) Session details: Web accessibility challenge., W4A, C Duarte, T Drake, F Hwang, C Lewis (ed.), ACM, url
(2020) Detecting high-functioning autism in adults using eye tracking and machine learning, IEEE Transactions on Neural Systems and Rehabilitation Engineering 28(6), p. 1254-1261, United States: Institute of Electrical and Electronics Engineers (IEEE), url, doi:10.1109/tnsre.2020.2991675
2019
(2019) Predicting the difficulty of multiple choice questions in a high-stakes medical exam, Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications(AM), Association for Computational Linguistics, url
(2019) Automatic question answering for medical MCQs: Can it go further than information retrieval?, Recent Advances in Natural Language Processing (RANLP 2019)(AM), p. 418-422, Varna. Bulgaria: RANLP, pdf
(2019) Combining trending scan paths with arousal to model visual behaviour on the Web: A case study of neurotypical people vs people with autism, ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, p. 86-94, doi:10.1145/3320435.3320446
(2019) Adults with High-functioning Autism Process Web Pages With Similar Accuracy but Higher Cognitive Effort Compared to Controls, Web4all 2019, 16th International Web for All Conference: Addressing Information Barriers(AM), San Francisco: ACM, url, doi:10.1145/3315002.3317563
(2019) A Survey of the Perceived Text Adaptation Needs of Adults with Autism, Recent Advances in Natural Language Processing, Bulgaria: Incoma.ltd
2017
(2017) Do Web Users with Autism Experience Barriers When Searching for Information Within Web Pages?, The 17th Web for All Conference
(2017) Using Gaze Data to Predict Multiword Expressions, in proceedings of Recent Advances in Natural Language Processing, RANLP2017
(2017) Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities, Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, p. 121 - 132, url
(2017) Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data, In Mitkov R (Ed.) Computational and Corpus-based Phraseology. EUROPHRAS, London: Springer, doi:DOI:10.1007/978-3-319-69805-2_26
(2017) Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers, Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) held in conjunction with EMNLP
2016
(2016) Predicting Reading Difficulty for Readers with Autism Spectrum Disorder, Proceedings of the Workshop on Improving Social Inclusion using NLP: Tools and Resources (ISI-NLP), held in conjunction with LREC-2016
(2016) A Corpus of Text Data and Gaze Fixations from Autistic and Non-autistic Adults, Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)
(2016) Evaluating the Readability of Text Simplification Output for Readers with Cognitive Disabilities, Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)
(2016) Text and Web Accessibility for People with Autism Spectrum Disorder
2015
(2015) Easy-read Documents as a Gold Standard for Evaluation of Text Simplification Output, Proceedings of the IStudent Research Workshop at the International Conference on Recent Advances in Natural Language Processig (RANLP 2015), p. 30-36
(2015) Six Good Predictors of Autistic Reading Comprehension, Proceedings of the International Conference "Recent Advances in Natural Language Processing'2015" (RANLP-2015), p. 697 - 706
(2015) Accessible Texts for Autism: An Eye-Tracking Study, ASSETS 2015. The 17th International ACM SIGACCESS Conference of Computers and Accessibility, p. 49-57
2013
(2013) Computational considerations of comparisons and similes, Proceedings of the ACL Student Research Workshop, p. 89-95, url
Publications before 2015 are available here.