Lucia Specia is a British computer scientist, professor of natural language processing at Imperial College London and Chief Scientist at Contex.ai.[1][2][3][4] She holds a joint position in language engineering at the University of Sheffield.[5][6] Her research investigates data-driven approaches to natural language processing (NLP).[7][8]
Early life and education
editSpecia earned her PhD in computer science at the University of São Paulo in 2007 supervised by Maria das Graças Volpe Nunes[9] from the Núcleo Interinstitucional de Linguística Computacional (NILC).[5][10]
Research and career
editAfter earning her PhD, Specia moved to Xerox Research Centre Europe, where she worked as a research engineer.[10] In 2010 Specia joined the University of Wolverhampton as a senior lecturer. She moved to the University of Sheffield in 2012, and Imperial College London in 2018.[11] She took up a joint appointment at the ADAPT Centre at Dublin City University.[12]
Specia specialises in natural language processing using multi-modal input data, quality estimations in machine learning and the intersection of language and vision. She developed QuEst, an open source software tool used for quality estimation for machine translation.[13] Specia was awarded an Amazon Research Award in 2016, using which she investigated the quality of machine translation for product reviews.[14] In 2016 Specia was awarded a European Research Council (ERC) starting grant to use multi-modal information as an input for machine learning algorithms.[15]
Select publications
edit- Daniel Cer; Mona Diab; Eneko Agirre; Iñigo Lopez-Gazpio; Lucia Specia (31 July 2017). "SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation" (PDF). Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Proceedings of the International Workshop on Semantic Evaluation. arXiv:1708.00055. doi:10.18653/V1/S17-2001. Wikidata Q57265540.
- Ondrej Bojar; Christian Buck; Christian Federmann; et al. (2014), Findings of the 2014 Workshop on Statistical Machine Translation, doi:10.3115/V1/W14-3302, Wikidata Q64060701
- Desmond Elliott; Stella Frank; Khalil Sima'an; Lucia Specia (2 May 2016), Multi30K: Multilingual English-German Image Descriptions (PDF), arXiv:1605.00459, Wikidata Q63171161
References
edit- ^ "Our team". contex.ai.
- ^ Lucia Specia publications indexed by Google Scholar
- ^ Lucia Specia publications from Europe PubMed Central
- ^ Lucia Specia at DBLP Bibliography Server
- ^ a b "Lucia Specia: Lecturer in Computer Science and a member of the Natural Language Processing group". shef.ac.uk. Archived from the original on 2012-11-15.
- ^ Lucia Specia publications indexed by the Scopus bibliographic database. (subscription required)
- ^ Lucia Specia on Twitter
- ^ Lucia Specia on LinkedIn
- ^ Specia, Lucia (2007). A hybrid relational approach for word sense disambiguation in machine translation (PhD thesis). doi:10.11606/T.55.2007.tde-05122007-205308. OCLC 691635829.
- ^ a b "Propor 2010 | International Conference on Computational Processing of Portuguese Language". inf.pucrs.br. Retrieved 2023-11-23.
- ^ "Lucia Specia". khipu.ai. 2019-08-08. Retrieved 2023-11-23.
- ^ "DCU and ADAPT appoint world leading expert in natural language processing". dcu.ie. Dublin City University. 2020-04-17. Retrieved 2023-11-23.
- ^ "QuEst++". staffwww.dcs.shef.ac.uk. Retrieved 2023-11-23.
- ^ "Lucia Specia". amazon.science. Retrieved 2023-11-23.
- ^ "Multi-modal Context Modelling for Machine Translation | MultiMT Project | Fact Sheet | H2020". europa.eu. European Commission. Retrieved 2023-11-23.
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