World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
95
Citations
36551
World Ranking
464
National Ranking
29

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2020 - Member of Academia Europaea
  • 2019 - Fellow of the Royal Society of Edinburgh

Overview

Mirella Lapata is affiliated with the University of Edinburgh in the United Kingdom and has a substantial body of research in computer science with a focus on artificial intelligence and natural language processing.

Their research spans several specialized fields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Sociology and Political Science
  • Information Systems

The main research topics covered in their work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Speech and Dialogue Systems
  • Biomedical Text Mining and Ontologies

Mirella Lapata's publication record shows frequent contributions to notable venues such as:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence

The scientist has worked often with several coauthors, including:

  • Fantine Huot
  • Joshua Maynez
  • Shashi Narayan
  • Dipanjan Das
  • Reinald Kim Amplayo

Recent publications include:

  • "Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback," 2023, arXiv (Cornell University)
  • "Multi-Document Summarization with Determinantal Point Process Attention," 2021, Journal of Artificial Intelligence Research
  • "Risk of bias assessment in preclinical literature using natural language processing," 2021, Research Synthesis Methods
  • "Zero-Shot Cross-lingual Semantic Parsing," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Learning Opinion Summarizers by Selecting Informative Reviews," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Recognition includes being named a Fellow of the Royal Society of Edinburgh in 2019 and a Member of Academia Europaea in 2020.

Best Publications

  • Text Summarization with Pretrained Encoders

    Yang Liu;Mirella Lapata

  • Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

    Hagen Fürstenau;Mirella Lapata

  • Long Short-Term Memory-Networks for Machine Reading

    Jianpeng Cheng;Li Dong;Mirella Lapata

  • Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

    Shashi Narayan;Shay B. Cohen;Mirella Lapata

  • Composition in distributional models of semantics.

    Jeff Mitchell;Mirella Lapata

  • Modeling local coherence: An entity-based approach

    Regina Barzilay;Regina Barzilay;Mirella Lapata

  • Dependency-Based Construction of Semantic Space Models

    Sebastian Padó;Mirella Lapata

  • Neural Summarization by Extracting Sentences and Words

    Jianpeng Cheng;Mirella Lapata

  • Vector-based Models of Semantic Composition

    Jeff Mitchell;Mirella Lapata

  • Language to Logical Form with Neural Attention

    Li Dong;Mirella Lapata

  • Ranking Sentences for Extractive Summarization with Reinforcement Learning

    Shashi Narayan;Shay B. Cohen;Mirella Lapata

  • Using Semantic Roles to Improve Question Answering

    Dan Shen;Mirella Lapata

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

    Oier Lopez de Lacalle;Mirella Lapata

  • Using the web to obtain frequencies for unseen bigrams

    Frank Keller;Mirella Lapata

  • An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation

    R. Navigli;M. Lapata

  • Coarse-to-Fine Decoding for Neural Semantic Parsing

    Li Dong;Mirella Lapata

  • Sentence Simplification with Deep Reinforcement Learning

    Xingxing Zhang;Mirella Lapata

  • Global inference for sentence compression an integer linear programming approach

    James Clarke;Mirella Lapata

  • Chinese Poetry Generation with Recurrent Neural Networks

    Xingxing Zhang;Mirella Lapata

  • Probabilistic Text Structuring: Experiments with Sentence Ordering

    Mirella Lapata

  • Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

    Kristian Woodsend;Mirella Lapata

  • A Comparison of Vector-based Representations for Semantic Composition

    William Blacoe;Mirella Lapata

  • Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

    Sebastian Padó;Mirella Lapata

  • Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

    Carina Silberer;Mirella Lapata

  • Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

    Mirella Lapata;Hwee Tou Ng

Frequent Co-Authors

Frank Keller
Frank Keller University of Edinburgh
Li Dong
Li Dong Microsoft (United States)
Trevor Cohn
Trevor Cohn University of Melbourne
Sebastian Padó
Sebastian Padó University of Stuttgart
Rui Yan
Rui Yan Renmin University of China
Yansong Feng
Yansong Feng Peking University
Ivan Titov
Ivan Titov University of Edinburgh
Alex Lascarides
Alex Lascarides University of Edinburgh
Christoph Scheepers
Christoph Scheepers University of Glasgow

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