World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
14439
World Ranking
3612
National Ranking
219

Overview

Kalina Bontcheva is affiliated with the University of Sheffield in the United Kingdom. Their research spans multiple disciplines including Computer Science and Social Sciences, with significant contributions to subfields such as Artificial Intelligence, Sociology and Political Science, Information Systems, Communication, and Health.

The scientist's work focuses on topics including misinformation and its impacts, hate speech and cyberbullying detection, topic modeling, spam and phishing detection, sentiment analysis and opinion mining, social media and politics, as well as vaccine coverage and hesitancy.

Notable recent papers include:

  • Classification aware neural topic model for COVID-19 disinformation categorisation (2021, PLoS ONE)
  • Which politicians receive abuse? Four factors illuminated in the UK general election 2019 (2020, EPJ Data Science)
  • Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis (2020, arXiv [Cornell University])
  • Mental health-related conversations on social media and crisis episodes: a time-series regression analysis (2020, Scientific Reports)
  • The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe (2020, arXiv [Cornell University])

Bontcheva's frequent co-authors include Carolina Scarton, Xingyi Song, Yida Mu, Olesya Razuvayevskaya, and Freddy Heppell. These collaborations reflect ongoing research partnerships across multiple projects.

The scientist has contributed to various publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • EPJ Data Science
  • PLoS ONE
  • Proceedings of the International AAAI Conference on Web and Social Media

Among their contributions to academic literature is a book titled Social Informatics, published in 2020 by Springer Science+Business Media.

Best Publications

  • A framework and graphical development environment for robust NLP tools and applications.

    Hamish Cunningham;Diana Maynard;Kalina Bontcheva;Valentin Tablan

  • Detection and Resolution of Rumours in Social Media: A Survey

    Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata

  • Text Processing with GATE

    Hamish Cunningham;Diana Maynard;Kalina Bontcheva

  • GATE: an Architecture for Development of Robust HLT applications

    Hamish Cunningham;Diana Maynard;Kalina Bontcheva;Valentin Tablan

  • Analysis of named entity recognition and linking for tweets

    Leon Derczynski;Diana Maynard;Giuseppe Rizzo;Giuseppe Rizzo;Marieke van Erp

  • Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.

    Hamish Cunningham;Valentin Tablan;Angus Roberts;Kalina Bontcheva

  • Stance detection with bidirectional conditional encoding

    Isabelle Augenstein;Tim Rocktäschel;Andreas Vlachos;Kalina Bontcheva

  • Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data

    Leon Derczynski;Alan Ritter;Sam Clark;Kalina Bontcheva

  • SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

    Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter

  • Evolving GATE to meet new challenges in language engineering

    Kalina Bontcheva;Valentin Tablan;Diana Maynard;Hamish Cunningham

  • SVM based learning system for information extraction

    Yaoyong Li;Kalina Bontcheva;Hamish Cunningham

  • TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text

    Kalina Bontcheva;Leon Derczynski;Adam Funk;Mark Greenwood

  • Ontology-based information extraction for business intelligence

    Horacio Saggion;Adam Funk;Diana Maynard;Kalina Bontcheva

  • SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours

    Genevieve Gorrell;Elena Kochkina;Maria Liakata;Ahmet Aker

  • A natural language query interface to structured information

    Valentin Tablan;Danica Damljanovic;Kalina Bontcheva

  • Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines

    Marta Sabou;Kalina Bontcheva;Leon Derczynski;Arno Scharl

  • Where's @wally?: a classification approach to geolocating users based on their social ties

    Dominic Rout;Kalina Bontcheva;Daniel Preoţiuc-Pietro;Trevor Cohn

  • Making Sense of Social Media Streams through Semantics: a Survey

    Kalina Bontcheva;Dominic Paul Rout

  • Discourse-aware rumour stance classification in social media using sequential classifiers

    Arkaitz Zubiaga;Elena Kochkina;Elena Kochkina;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • Hawkes processes for continuous time sequence classification : an application to rumour stance classification in Twitter

    Michal Lukasik;P. K. Srijith;Duy Vu;Kalina Bontcheva

  • Human Language Technologies

    Kalina Bontcheva;Brian Davis;Adam Funk;Yaoyong Li

Frequent Co-Authors

Hamish Cunningham
Hamish Cunningham University of Sheffield
Diana Maynard
Diana Maynard University of Sheffield
Arkaitz Zubiaga
Arkaitz Zubiaga Queen Mary University of London
Maria Liakata
Maria Liakata Queen Mary University of London
Rob Procter
Rob Procter University of Warwick
Yorick Wilks
Yorick Wilks Florida Institute for Human and Machine Cognition
Horacio Saggion
Horacio Saggion Pompeu Fabra University
Trevor Cohn
Trevor Cohn University of Melbourne
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen
Mark Stevenson
Mark Stevenson University of Melbourne

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