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Computer Science

D-Index
59
Citations
17120
World Ranking
3374
National Ranking
203

Overview

Lucia Specia is affiliated with Imperial College London in the United Kingdom. Their research focuses primarily on computer science, with substantial work in artificial intelligence. Other subfields include computer vision and pattern recognition, signal processing, information systems, and language and linguistics.

Their main topics of research cover a range of areas, including:

  • Natural language processing techniques
  • Topic modeling
  • Multimodal machine learning applications
  • Text readability and simplification
  • Advanced image and video retrieval techniques
  • Adversarial robustness in machine learning
  • Domain adaptation and few-shot learning

Lucia Specia has published extensively, with significant contributions appearing in various reputable venues. They have a notable presence in arXiv, with 28 publications. Other frequent publication venues include:

  • Machine Translation
  • Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Spiral (Imperial College London)

Among their recent papers are:

  • Simultaneous machine translation with visual context, 2020, Spiral (Imperial College London)
  • Data-Driven Sentence Simplification: Survey and Benchmark, 2020, Computational Linguistics
  • Multimodal machine translation through visuals and speech, 2020, Machine Translation
  • The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification, 2021, Computational Linguistics
  • Cross-lingual visual pre-training for multimodal machine translation, 2021, Digital Collections portal (Koç University)

Frequent collaborators of Lucia Specia include:

  • Yishu Miao
  • Pranava Madhyastha
  • Marina Fomicheva
  • Ozan Çağlayan
  • Francisco Guzmán

Lucia Specia's cross-disciplinary expertise integrates visual and linguistic modalities, contributing to advancements in machine translation and text simplification. Their work reflects engagement with both foundational and applied aspects of multimodal machine learning and natural language processing.

Best Publications

  • SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

    Daniel M. Cer;Mona T. Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • Findings of the 2014 Workshop on Statistical Machine Translation

    Ondrej Bojar;Christian Buck;Christian Federmann;Barry Haddow

  • Findings of the 2015 Workshop on Statistical Machine Translation

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Barry Haddow

  • SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

    Daniel Cer;Mona Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • Findings of the 2012 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Matt Post

  • Findings of the 2017 Conference on Machine Translation (WMT17)

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Findings of the 2016 Conference on Machine Translation

    Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Integrating Folksonomies with the Semantic Web

    Lucia Specia;Enrico Motta

  • Multi30K: Multilingual English-German Image Descriptions

    Desmond Elliott;Stella Frank;Khalil Sima'an;Lucia Specia

  • Findings of the 2013 Workshop on Statistical Machine Translation

    Ondřej Bojar;Christian Buck;Chris Callison-Burch;Christian Federmann

  • Estimating the Sentence-Level Quality of Machine Translation Systems

    Lucia Specia;Marco Turchi;Nicola Cancedda;Nello Cristianini

  • A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

    Lucia Specia;Stella Frank;Khalil Sima'an;Desmond Elliott

  • PET: a Tool for Post-editing and Assessing Machine Translation

    Wilker Aziz;Sheila Castilho;Lucia Specia

  • QuEst - A translation quality estimation framework

    Lucia Specia;Kashif Shah;Jose G.C. de Souza;Trevor Cohn

  • Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description

    Desmond Elliott;Stella Frank;Loïc Barrault;Fethi Bougares

  • How2: A Large-scale Dataset for Multimodal Language Understanding

    Ramon Sanabria;Ozan Caglayan;Shruti Palaskar;Desmond Elliott

  • Machine translation evaluation versus quality estimation

    Lucia Specia;Dhwaj Raj;Marco Turchi

  • Exploiting Objective Annotations for Minimising Translation Post-editing Effort

    Lucia Specia

  • SemEval 2016 Task 11: Complex Word Identification

    Gustavo Paetzold;Lucia Specia

  • SemEval-2012 Task 1: English Lexical Simplification

    Lucia Specia;Sujay Kumar Jauhar;Rada Mihalcea

Frequent Co-Authors

Barry Haddow
Barry Haddow University of Edinburgh
Philipp Koehn
Philipp Koehn Johns Hopkins University
Trevor Cohn
Trevor Cohn University of Melbourne
Christof Monz
Christof Monz University of Amsterdam
Mark Stevenson
Mark Stevenson University of Melbourne
Thomas Hain
Thomas Hain University of Sheffield
Ondrej Bojar
Ondrej Bojar Charles University
Marcos Zampieri
Marcos Zampieri George Mason University
Karin Verspoor
Karin Verspoor RMIT University
Enrico Motta
Enrico Motta The Open University

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