Research
Research
Research
My current research includes applying NLP technologies for licensing testing (for example, American-British transliteration, information extraction, item difficulty prediction, item response time prediction, and item distractor prediction).
My current research includes applying NLP technologies for licensing testing (for example, American-British transliteration, information extraction, item difficulty prediction, item response time prediction, and item distractor prediction).
I have experiences on utilising eye tracking data for various tasks.
I have experiences on utilising eye tracking data for various tasks.
I have extensive experiences in machine learning (ML) techniques algorithms, and platforms, both traditional (svm, linear regression, random forest, weka etc.) and recently developed (deep learning, tensorflow, keras, etc.). I have applied ML techniques to a wide range of problems (detecting autism, classifying referential and non referential it, predicting response times, automated scoring) utilising various types of data (texts, images, gazes).
I have extensive experiences in machine learning (ML) techniques algorithms, and platforms, both traditional (svm, linear regression, random forest, weka etc.) and recently developed (deep learning, tensorflow, keras, etc.). I have applied ML techniques to a wide range of problems (detecting autism, classifying referential and non referential it, predicting response times, automated scoring) utilising various types of data (texts, images, gazes).
My favourite Publications
My favourite Publications
- Rohanian O, Taslimipoor S, Kouchaki S, Ha L, Mitkov R. Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Minneapolis, 03 Jun 2019 - 05 Jun 2019. Association for Computational Linguistics. 05 Jun 2019 (Conference Contribution) Publisher URL
- Yaneva V, Ha LA, Evans R, Mitkov R. Classifying referential and non-referential it using gaze Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 Oct 2018 - 04 Nov 2018. Association for Computational Linguistics (ACL). Association for Computational Linguistics (ACL), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts. 31 Oct 2018 (Conference Contribution) Publisher URL
- Yaneva V, Ha L, Eraslan S, Yesilada Y, Mitkov R. Detecting autism based on eye-tracking data from web searching tasks Web4All 2018 15th International Cross-Disciplinary Conference on Web Accessibility, Lyon, France, 23 Apr 2018 - 25 Jun 2019. ACM. 23 Apr 2018 (Conference Contribution)
- Skalban Y, Ha LA, Specia L, Mitkov R. Automatic Question Generation in Multimedia-Based Learning. Editors: Kay, Martin, Boitet, Christian. COLING (Posters). Indian Institute of Technology Bombay. 1151-1160. 2012 (Conference Contribution) Publisher URL
- Mitkov R, Ha LA, Karamanis N. A computer-aided environment for generating multiple-choice test items Natural Language Engineering 12(2):177-194 01 Jun 2006 (Journal article)