Daryna Dementieva

Professor: Alexander Panchenko

Graduated from: Moscow Institute of Physics and Technology

Research interests: NLP, fake news detection and combating, propaganda detection, text style transfer

Thesis title: Fake News Detection using Multilingual Evidence

You can also check my personal web-page.

Publications:

• Daryna Dementieva, Alexander Panchenko. Fake News Detection using Multilingual Evidence. IEEE 7th International Conference on Data Science and Advanced Analytics, 2020;
• Daryna Dementieva, Igor Markov, Alexander Panchenko. SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection. International Workshop on Semantic Evaluation, 2020.

Talks:

• DSAA Poster: Fake News Detection Using Multilingual Evidence;
• MLSS2020 Poster: Fake News Detection using Multilingual Evidence;
• ViTalk: Virtual Analyst or Human Business Intelligence.

Teaching:

• Statistical NLP 2020: seminar, homework preparation, advising students;
• Neural NLP 2019: seminars, homework check;
• TowardsNLP online seminars 2018-2019: lead of the group, papers reviews, presentation of NLP projects, discussions;
• Data Structures and Algorithms Elective Course 2015: additional seminars supporting main course, advanced topics, contests organization.