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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
70
Citations
20344
World Ranking
1869
National Ranking
107

Research.com Recognitions

  • 2023 - Research.com Computer Science in United Kingdom Leader Award

Overview

Sophia Ananiadou is affiliated with the University of Manchester in the United Kingdom, with a research focus centered in Computer Science and specifically Artificial Intelligence. Their work covers a diverse range of topics including Topic Modeling, Natural Language Processing Techniques, and Biomedical Text Mining and Ontologies.

The scientist's recent publications illustrate engagement with both domain-specific applications and methodological developments in natural language processing and biomedical informatics. Notable recent papers include:

  • "Natural language processing applied to mental illness detection: a narrative review" (2022), npj Digital Medicine
  • "Pre-trained language models with domain knowledge for biomedical extractive summarization" (2022), Knowledge-Based Systems
  • "A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media" (2022), Information Processing & Management
  • "Transformer for Graphs: An Overview from Architecture Perspective" (2022), arXiv (Cornell University)
  • "DeepEventMine: end-to-end neural nested event extraction from biomedical texts" (2020), Bioinformatics

Their collaborations include frequent co-authorship with researchers such as Qianqian Xie, Kailai Yang, Tianlin Zhang, Jimin Huang, and Makoto Miwa. The extent of collaboration varies, with Qianqian Xie being the most frequent coauthor.

  • Qianqian Xie
  • Kailai Yang
  • Tianlin Zhang
  • Jimin Huang
  • Makoto Miwa

Publication venues where this scientist has appeared most frequently include arXiv (Cornell University), IEEE Transactions on Affective Computing, Zenodo (CERN European Organization for Nuclear Research), Information Processing & Management, and Neurocomputing.

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information Processing & Management
  • Neurocomputing

The subfields of study associated with their work demonstrate interdisciplinary reach spanning Artificial Intelligence, Molecular Biology, Social Psychology, Sociology and Political Science, and Information Systems.

  • Artificial Intelligence
  • Molecular Biology
  • Social Psychology
  • Sociology and Political Science
  • Information Systems

Key research topics covered in their publications include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Mental Health via Writing
  • Misinformation and Its Impacts

Best Publications

  • brat: a Web-based Tool for NLP-Assisted Text Annotation

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Automatic recognition of multi-word terms:. the C-value/NC-value method

    Katerina T. Frantzi;Sophia Ananiadou;Hideki Mima

  • Using text mining for study identification in systematic reviews: a systematic review of current approaches

    Alison O’Mara-Eves;James Thomas;John McNaught;Makoto Miwa

  • Developing a robust part-of-speech tagger for biomedical text

    Yoshimasa Tsuruoka;Yuka Tateishi;Jin-Dong Kim;Tomoko Ohta

  • Distributional Semantics Resources for Biomedical Text Processing

    S Pyysalo;F Ginter;H Moen;T Salakoski

  • Text Mining for Biology And Biomedicine

    Sophia Ananiadou;John Mcnaught

  • Text mining and its potential applications in systems biology

    Sophia Ananiadou;Douglas B. Kell;Jun ichi Tsujii;Jun ichi Tsujii

  • Text mining and ontologies in biomedicine: Making sense of raw text

    Irena Spasic;Sophia Ananiadou;John McNaught;Anand Kumar

  • The C-value/NC-value domain-independent method for multi-word term extraction

    Katerina T. Frantzi;Sophia Ananiadou

  • A methodology for automatic term recognition

    Sophia Ananiadou

  • Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • A Neural Layered Model for Nested Named Entity Recognition

    Meizhi Ju;Makoto Miwa;Sophia Ananiadou

  • The C-value/NC-value Method of Automatic Recognition for Multi-Word Terms

    Katerina T. Frantzi;Sophia Ananiadou;Jun-ichi Tsujii

  • Event extraction for systems biology by text mining the literature.

    Sophia Ananiadou;Sampo Pyysalo;Jun’ichi Tsujii;Douglas B. Kell

  • Applications of text mining within systematic reviews

    James Thomas;John McNaught;Sophia Ananiadou

  • Extracting nested collocations

    Katerina T. Frantzi;Sophia Ananiadou

  • Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    Fenia Christopoulou;Makoto Miwa;Makoto Miwa;Sophia Ananiadou

  • Reducing systematic review workload through certainty-based screening

    Makoto Miwa;James Thomas;Alison O'Mara-Eves;Sophia Ananiadou

  • FACTA: a text search engine for finding associated biomedical concepts

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    Sunil Kumar Sahu;Fenia Christopoulou;Makoto Miwa;Sophia Ananiadou

  • On the definition of word

    Sophia Ananiadou

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Makoto Miwa
Makoto Miwa Toyota Technological Institute
Sampo Pyysalo
Sampo Pyysalo University of Turku
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Paul M. Thompson
Paul M. Thompson University of Southern California
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Diana Maynard
Diana Maynard University of Sheffield
James Thomas
James Thomas University College London

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