World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13586
World Ranking
3820
National Ranking
231

Overview

Anna Korhonen is affiliated with the University of Cambridge in the United Kingdom and specializes in the field of computer science, with a strong focus on artificial intelligence. Their research extends into several subfields including computer vision and pattern recognition, molecular biology, hardware and architecture, and radiology, nuclear medicine, and imaging.

The scientist's work spans multiple main topics within their discipline, notably:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Domain Adaptation and Few-Shot Learning
  • Biomedical Text Mining and Ontologies

Anna Korhonen has published extensively, with a significant number of articles appearing in venues such as arXiv (Cornell University), Transactions of the Association for Computational Linguistics, Apollo (University of Cambridge), the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, and the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Long Papers).

Among recent published papers, the following stand out with details of publication year and venue:

  • Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans, 2020, Research Portal (King's College London)
  • A systematic literature review of automatic Alzheimer's disease detection from speech and language, 2020, Journal of the American Medical Informatics Association
  • Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • The impact of imputation quality on machine learning classifiers for datasets with missing values, 2023, Communications Medicine
  • Composable Sparse Fine-Tuning for Cross-Lingual Transfer, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Frequent collaborators in their research include:

  • Ivan Vulić
  • Edoardo Maria Ponti
  • Nigel Collier
  • Roi Reichart
  • Simon Baker

The research portfolio of Anna Korhonen reflects significant engagement in interdisciplinary applications of machine learning, particularly relating to biomedical domains and language processing. Their body of work contributes to advancing computational methods in artificial intelligence with implications across speech systems, multilingual transfer learning, and medical data analysis.

Best Publications

  • Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Michael Roberts;Michael Roberts;Derek Driggs;Matthew Thorpe;Julian D. Gilbey

  • Simlex-999: Evaluating semantic models with genuine similarity estimation

    Felix Hill;Roi Reichart;Anna Korhonen

  • Learning distributed representations of sentences from unlabelled data

    Felix Hill;Kyunghyun Cho;Anna Korhonen

  • A large-scale classification of English verbs

    Karin Kipper;Anna Korhonen;Neville Ryant;Martha Palmer

  • How to Train good Word Embeddings for Biomedical NLP

    Billy Chiu;Gamal K. O. Crichton;Anna Korhonen;Sampo Pyysalo

  • Extending VerbNet with Novel Verb Classes

    Karin Kipper;Anna Korhonen;Neville Ryant;Martha Palmer

  • SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

    Daniela Gerz;Ivan Vulic;Felix Hill;Roi Reichart

  • A neural network multi-task learning approach to biomedical named entity recognition

    Gamal K. O. Crichton;Sampo Pyysalo;Billy Chiu;Anna Korhonen

  • Metaphor Identification Using Verb and Noun Clustering

    Ekaterina Shutova;Lin Sun;Anna Korhonen

  • Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrksic;Nikola Mrksic;Ivan Vulic;Diarmuid Ó Séaghdha;Ira Leviant

  • Probing Pretrained Language Models for Lexical Semantics

    Ivan Vulić;Edoardo Maria Ponti;Robert Litschko;Goran Glavaš

  • Learning to Understand Phrases by Embedding the Dictionary

    Felix Hill;KyungHyun Cho;Anna Korhonen;Yoshua Bengio

  • Statistical metaphor processing

    Ekaterina Shutova;Simone Teufel;Anna Korhonen

  • Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

    David Yarowsky;Timothy Baldwin;Anna Korhonen;Karen Livescu

  • Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing

    Edoardo Maria Ponti;Helen O’Horan;Yevgeni Berzak;Ivan Vulić

  • Zone analysis in biology articles as a basis for information extraction.

    Yoko Mizuta;Anna Korhonen;Tony Mullen;Nigel Collier

  • Extended lexical-semantic classification of English verbs

    Anna Korhonen;Ted Briscoe

  • Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance

    Billy Chiu;Anna Korhonen;Sampo Pyysalo

  • Improving Verb Clustering with Automatically Acquired Selectional Preferences

    Lin Sun;Anna Korhonen

  • A Large Subcategorization Lexicon for Natural Language Processing Applications.

    Anna Korhonen;Yuval Krymolowski;Ted Briscoe

  • Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrkšić;Ivan Vulić;Diarmuid Ó Séaghdha;Ira Leviant

Frequent Co-Authors

Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Ivan Vulić
Ivan Vulić University of Cambridge
Felix Hill
Felix Hill Google (United States)
Diana McCarthy
Diana McCarthy University of Cambridge
Nikola Mrksic
Nikola Mrksic PolyAI Limited
Douwe Kiela
Douwe Kiela Stanford University
Martha Palmer
Martha Palmer University of Colorado Boulder
Sampo Pyysalo
Sampo Pyysalo University of Turku
Ted Briscoe
Ted Briscoe Mohamed bin Zayed University of Artificial Intelligence
Nigel Collier
Nigel Collier University of Cambridge

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