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D-Index & Metrics

Computer Science

D-Index
39
Citations
8883
World Ranking
9590
National Ranking
601

Overview

Maria Liakata is affiliated with Queen Mary University of London in the United Kingdom. Their research is primarily situated within the field of Computer Science, with a notable focus on subfields such as Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Applied Psychology, and Experimental and Cognitive Psychology.

Their work spans a range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Misinformation and Its Impacts
  • Digital Mental Health Interventions
  • Complex Network Analysis Techniques
  • Mental Health via Writing

Maria Liakata has contributed to several recent publications, including:

  • Natural Language Processing markers in first episode psychosis and people at clinical high-risk, 2021, Translational Psychiatry
  • Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study, 2023, The Lancet Digital Health
  • Identifying Moments of Change from Longitudinal User Text, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Evaluating the generalisability of neural rumour verification models, 2022, Information Processing & Management
  • Birds of a feather check together: Leveraging homophily for sequential rumour detection, 2020, Online Social Networks and Media

Their frequent co-authors include:

  • Adam Tsakalidis
  • Arkaitz Zubiaga
  • Rob Procter
  • Elena Kochkina
  • Yulan He

Maria Liakata's publications are often found in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Translational Psychiatry
  • The Lancet Digital Health
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Best Publications

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

    Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata

  • The Automation of Science

    Ross Donald King;Jeremy John Rowland;Jeremy John Rowland;Stephen G. Oliver;Stephen G. Oliver;Michael Young

  • Analysing how people orient to and spread rumours in social media by looking at conversational threads

    Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi

  • Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016)

    Daniel Duma;Maria Liakata;James Ravenscroft;Amanda Clare

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

    Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter

  • Exploiting Context for Rumour Detection in Social Media

    Arkaitz Zubiaga;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • Characterisation of mental health conditions in social media using Informed Deep Learning

    George Gkotsis;Anika Oellrich;Sumithra Velupillai;Sumithra Velupillai;Maria Liakata

  • Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

    Sumithra Velupillai;Sumithra Velupillai;Hanna Suominen;Hanna Suominen;Maria Liakata;Angus Roberts

  • Measuring scientific impact beyond academia: an assessment of existing impact metrics and proposed improvements

    James Edward Ravenscroft;Maria Liakata;Amanda Clare;Daniel Duma

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

    Genevieve Gorrell;Elena Kochkina;Maria Liakata;Ahmet Aker

  • Automatic recognition of conceptualization zones in scientific articles and two life science applications

    Maria Liakata;Shyamasree Saha;Simon Dobnik;Colin Batchelor

  • Towards Robot Scientists for autonomous scientific discovery

    Andrew Charles Sparkes;Wayne Aubrey;Emma Louise Byrne;Amanda Janet Clare

  • Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media.

    Arkaitz Zubiaga;Maria Liakata;Rob Procter

  • 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

  • All-in-one: Multi-task Learning for Rumour Verification

    Elena Kochkina;Maria Liakata;Arkaitz Zubiaga

  • Corpora for the Conceptualisation and Zoning of Scientific Papers

    Maria Liakata;Simone Teufel;Advaith Siddharthan;Colin R. Batchelor

  • tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection

    Nicole Peinelt;Dong Nguyen;Maria Liakata

  • How We Do Things With Words: Analyzing Text as Social and Cultural Data.

    Dong Nguyen;Maria Liakata;Maria Liakata;Maria Liakata;Simon DeDeo;Jacob Eisenstein

  • Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

    Elena Kochkina;Maria Liakata;Isabelle Augenstein

  • The language of mental health problems in social media

    George Gkotsis;Anika Oellrich;Tim J. P. Hubbard;Richard J. B. Dobson

  • Towards detecting rumours in social media

    Arkaitz Zubiaga;Maria Liakata;Rob Procter;Kalina Bontcheva

Frequent Co-Authors

Arkaitz Zubiaga
Arkaitz Zubiaga Queen Mary University of London
Rob Procter
Rob Procter University of Warwick
Kalina Bontcheva
Kalina Bontcheva University of Sheffield
Ross D. King
Ross D. King University of Manchester
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Stephen Pulman
Stephen Pulman University of Oxford
Stephen G. Oliver
Stephen G. Oliver University of Cambridge
Mark Rouncefield
Mark Rouncefield Lancaster University
Tim Hubbard
Tim Hubbard King's College London
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen

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