Invited Talks and Seminars
Yaneva, V. 2019. Predicting the Difficulty of Multiple-Choice Questions for a High-Stakes Medical Exam. Department of Computer Science, University of Manchester. Manchester, UK. (28/08/2019)
Yaneva, V. 2019. Applying Behavioural Data to NLP Models for Solving Ambiguity and Non-compositionality. Institute for Logic, Language, and Computation, University of Amsterdam. Amsterdam, Netherlands. (12/03/2019)
Yaneva, V. 2017. Do You See What I Mean? The Use of Eye Tracking Data in Readability and Accessibility Research. Université Catholique de Louvain. Louvain-la-Neuve, Belgium.
- Using Item Text to Predict Item Survival: Can It Go Beyond Linguistic Characteristics? Victoria Yaneva, Le An Ha, Peter Baldwin & Janet Mee
- Helping Item Writers by Making NLP-Based Suggestions for Item Distractors. Peter Baldwin, Victoria Yaneva, Janet Mee, Brian Clauser & Le An Ha
- On the Utility of Using Transfer Learning to Predict Item Characteristics. Kang Xue, Victoria Yaneva & Christopher Runyon
- Predicting Item Survival Using Natural Language Processing. Victoria Yaneva, Le An Ha, Peter Baldwin and Janet Mee. Annual Meeting of the National Council on Measurement in Education (NCME), April 4-8, Toronto, Canada.
- On the Relationship Between Item Characteristics and Linguistically Motivated Item Features. Janet Mee, Peter Baldwin, Le An Ha and Victoria Yaneva (2019, April). Annual Convention of the American Educational Research Association, Toronto, Canada.
Yaneva, V. 2015. Reducing the effects of ASD-specific situational variables . At the Autism and the Foundations of Language and Communication conference. Dublin, Ireland.