2023

Yaneva, V., Baldwin, P., Jurich, D.P., Swygert, K. and Clauser, B.E., 2023. Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment. Academic Medicine, pp.10-1097.

Khalaji, E., Eraslan, S., Yesilada, Y. and Yaneva, V., 2023. Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data. Behaviour & Information Technology, 42(14), pp.2476-2484.

Suen, K.Y., Yaneva, V., Ha, L. A., Mee, J., Zhou, Y. and Harik, P., 2023, July. ACTA: Short-Answer Grading in High-Stakes Medical Exams. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) (pp. 443-447).

Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov (2023) Reading differences in eye-tracking data as a marker of high-functioning autism in adults and comparison to results from web-related tasks. Neural Engineering Techniques for Autism Spectrum Disorder, Ed(s): Ayman S. El-Baz, Jasjit S. Suri, Academic Press, 2023, pp 63-79,
ISBN 9780128244210, https://doi.org/10.1016/B978-0-12-824421-0.00011-4.

Yaneva, V. and von Davier, M. (Eds) (2023) Advancing Natural Language Processing in Educational Assessment. NCME Educational Measurement and Assessment Book Series. Taylor & Francis, 2023

Yaneva, V. , Baldwin, P., Ha, L. A., and Runyon, C. (2023) ‘Extracting Linguistic Signal from Item Text and Its Application to Modeling Item Characteristics’. In Yaneva and von Davier, M. (Eds) Advancing Natural Language Processing in Educational Assessment. NCME Educational Measurement and Assessment Book Series. Taylor & Francis, 2023

2022

Yaneva, V., Mee, J., Ha, L., Harik, P., Jodoin, M. and Mechaber, A., 2022, July. The USMLE® Step 2 Clinical Skills Patient Note Corpus. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 2880-2886).

Calixto, I., Yaneva, V., and Cardoso, R. M. (2022) Natural Language Processing for Mental Disorders: An Overview. In Dash, S.R., Parida, S., Tello, E.V., Acharya, B., & Bojar, O. (Eds.) Natural Language Processing in Healthcare: A Special Focus on Low Resource Languages (1st ed.). CRC Press. https://doi.org/10.1201/9781003138013

Khalaji, E., Eraslan, S., Yesilada, Y. and Yaneva, V., 2022. Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data. Behaviour & Information Technology, pp.1-9. DOI: 10.1080/0144929X.2022.2127376

Yaneva, V., Clauser, B.E., Morales, A. and Paniagua, M., 2022. Assessing the validity of test scores using response process data from an eye-tracking study: a new approach. Advances in Health Sciences Education, pp.1-22.

Kochmar, E., Burstein, J., Horbach, A., Laarmann-Quante, R., Madnani, N., Tack, A., Yaneva, V., Yuan, Z. and Zesch, T., 2022, July. Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). In Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022).

2021

Yaneva, V., Clauser, B.E., Morales, A. and Paniagua, M., 2021. Using Eye‐Tracking Data as Part of the Validity Argument for Multiple‐Choice Questions: A Demonstration. Journal of Educational Measurement, 58(4), pp.515-537.

Baldwin, P., Mee, J., Yaneva, V., Paniagua, M., D’Angelo, J., Swygert, K. and Clauser, B.E., 2021. A Natural-Language-Processing-Based Procedure for Generating Distractors for Multiple-Choice Questions. Evaluation & the Health Professions, p.01632787211046981.

Baldwin, P., Yaneva, V., Mee, J., Clauser, B.E. and Ha, L.A., 2021. Using natural language processing to predict item response times and improve test construction. Journal of Educational Measurement, 58(1), pp.4-30.

Eraslan, S., Yesilada, Y., Yaneva, V. and Ha, L.A., 2021. “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, 20(1), pp.69-84.

Yaneva, V., Jurich, D. P., Ha, L. A., and Baldwin, P. (2021) Using Linguistic Features to Predict the Response Process Complexity Associated with Answering Clinical MCQs. Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications (pp. 223-232)

2020

Ha, L. A., Yaneva, V., Harik, P., Pandian, R., Morales, A. and Clauser, B.  2020. Automated Prediction of Examinee Proficiency from Short-Answer Questions. To appear in Proceedings of the 28^th International Conference on Computational Linguistics (COLING), December 8-11 [pdf]

Xue, K., Yaneva, V., Runyon, C. and Baldwin, P., 2020, July. Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning. In Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications (pp. 193-197).

Yaneva, V., Ha, L. A., Baldwin, P. and Mee, J. 2020. Predicting Item Survival for Multiple Choice Questions in a High-stakes Medical Exam. In Proceedings of The 12th Language Resources and Evaluation Conference (pp. 6812-6818). [pdf]

Baldwin, P., Yaneva, V., Mee, J., Clauser, B. E. , Ha, L. A. 2020. Using Natural Language Processing to Predict Item Response Times and Improve Test Construction. Journal of Educational Measurement, Wiley. DOI: https://doi.org/10.1111/jedm.12264

Eraslan, S., Yesilada, Y., Yaneva, V. and Harper, S. 2020. Autism Detection Based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach. Proceedings of the 17th International Web for All Conference (pp. 1-10).

Eraslan, S., Yesilada, Y., Yaneva, V., and Ha, L.A. 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, pp 1 -16, Springer. DOI: https://doi.org/10.1007/s10209-020-00708-9

2019

Yaneva, V., Orasan, C., Ha, L. A. and Ponomareva, N. 2019. A Survey of the Perceived Text Adaptation Needs of Adults with Autism. Proceedings of the 12th conference on Recent Advances in Natural Language Processing (RANLP 2019) , Varna, Bulgaria, 02 – 05 September.

Le An Ha and Yaneva, V. 2019. Automatic Question Answering for Medical MCQs: Can It Go Further than Information Retrieval? Proceedings of the 12th conference on Recent Advances in Natural Language Processing (RANLP 2019) , Varna, Bulgaria, 02 – 05 September.

Le An Ha, Yaneva, V., Baldwin, P. and Mee, J. 2019. Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam. Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), held in conjunction with ACL 2019, Florence, Italy, 2 August, 2019.

Yaneva, V., Ha, L. A, Eraslan, S. and Yesilada, Y. 2019. Adults with High-functioning Autism Process Web Pages with Similar Accuracy but Higher Cognitive Effort Compared to Controls. Proceedings of the 19th Web for All Conference, W4A 2019, San Francisco, USA, 13-14 May, 2019. [Best Communication Paper Award]

2018

Sukru Eraslan, Victoria Yaneva, Yeliz Yesilada & Simon Harper. 2018. Web users with autism: eye tracking evidence for differences. Behaviour & Information Technology. DOI: 10.1080/0144929X.2018.1551933

Yaneva, V., Ha, L. A., Evans, R. and Mitkov, R. 2018. Classifying Referential and Non-referential It Using Gaze. Proceedings of the  Empirical Methods in Natural Language Processing (EMNLP) conference, Brussels, Belgium, October 31 – November 04, 2018

Ha, L. A. and Yaneva, V. 2018. Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval. Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) held in conjunction with NAACL, New Orleans, USA, 5 June 2018 DOI:https://doi.org/10.1145/3192714.3192819

Jönsson, A., Rennes, E., Saggion, H., Stajner, S. and Yaneva, V., 2018. Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA). In Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA) held in conjunction with INLG 2018, Tilburg, Netherlands.

Yaneva, V., Ha, L.A., Eraslan, S., Yesilada, Y., and Mitkov, R. 2018. Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks. Proceedings of the 18th Web for All Conference on The Internet of Accessible Things, W4A 2018, Lyon, France, 23-25 April, 2018. [Best Technical Paper Award, W4A 2018] [PDF]

2017

Yaneva, V. Taslimipoor, S., Rohanian, O., and Ha, L. A. 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 2017. Lecture Notes in Computer Science, vol 10596. Springer, Cham DOI:10.1007/978-3-319-69805-2_26 [PDF] [bib]

Yaneva, V., Orasan, C., Evans, R. and Rohanian, O. 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 (BEA) held in conjunction with EMNLP, Copenhagen, Denmark, 8 September 2017

Štajner, S., Yaneva, V., Mitkov, R. and Ponzetto, S. P. 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, Copenhagen, Denmark, 8 September 2017

Rohanian, O., Taslimipoor, S., Yaneva, V. and L. A. Ha . 2017. Using Gaze Data to Predict Multiword Expressions. Proceedings of the 11^thConference on  Advances in Natural Language Processing (RANLP 2017), Varna, Bulgaria.

Eraslan, S., Yaneva, V., Yesilada, Y., and Harper, S. 2017.  Do Web Users with Autism Experience Barriers When Searching for Information Within Web Pages?  Proceedings of the 14th Web for All Conference on The Future of Accessible Work, W4A 17, Article 20, Perth, Australia.

2016

Yaneva, V. 2016. Text and Web Accessibility for People with Autism Spectrum Disorder. PhD Thesis, University of Wolverhampton, UK.

Yaneva, V., Temnikova, I. and Mitkov, R. 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), Portoroz, Slovenia, 25 – 28 May

Yaneva, V., Temnikova, I. and Mitkov, R. 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), Portoroz, Slovenia, 25 – 28 May

Yaneva, V., Evans, R. and Temnikova, I. 2016. Predicting Reading Difficulty for Readers with Autism Spectrum Disorder.  Proceedings of Workshop on Improving Social Inclusion using NLP: Tools and Resources (ISI-NLP) held in conjunction with LREC 2016,  Portoroz, Slovenia, 23 May

2015

Yaneva, V., Temnikova, I. and Mitkov, R. 2015. Accessible Texts for Autism: An Eye-Tracking Study.  ASSETS 2015. The 17th International ACM SIGACCESS Conference of Computers and Accessibility, Lisbon, Portugal, 26-28 October.  pp. 49-57 [pdf]

Yaneva, V. and Evans, R. 2015. Six Good Predictors of Autistic Text Comprehension. In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2015), Hissar, Bulgaria, 5-11 September 2015. pp. 697 – 706 [pdf]

Yaneva, V. 2015. Easy-read Documents as a Gold Standard for Evaluation of Text Simplification Output. In Proceedings of the Student Research Workshop at the International Conference on Recent Advances in Natural Language Processing (RANLP 2015) , Hissar, Bulgaria, 5-11 September 2015. pp. 30-36 [pdf]

2013

Niculae, V. and  Yaneva, V. 2013. Computational considerations of comparisons and similes. In: Proceedings of ACL 2013 Student Research Workshop, pp. 89-95. Sofia, Bulgaria, August 2013. [pdf]