Aitor Gonzalez Aguirre

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Aitor Gonzalez-Agirre is a post-doctoral researcher of computational linguistics at the Barcelona Supercomputing Center (BSC). He received his MSc degree and his PhD in Natural Language Processing from the University of the Basque Country (UPV/EHU). He received the 2017 Best Thesis Award at the SEPLN Conference (Sociedad Española para el Procesamiento del Lenguaje Natural) held in Sevilla from 19-21 September 2018.
He is part of the Plan the Impulso de las Tecnologías del Lenguajes (PlanTL), a plan to promote the number, quality and availability of language infrastructures in Spanish and other spanish co-official languages. He works specifically on the biomedical domain, as member of the Text Mining Unit of the BSC. He has previous experience organizing popular tasks, such as Semantic Textual Similarity (STS) at SemEval/*SEM 2012, 2013, 2014, 2015 and 2016, including other related tasks including Typed-Similarity at SemEval-2013 and Interpretable STS at SemEval-2015 and 2016, Biomedical Abbreviation Recognition and Resolution 2nd Edition (BARR2) at IberEval 2018, Medical Document Anonymization task (MEDDOCAN) at IberLEF 2019 and Pharmacological Substances, Compounds and proteins and Named Entity Recognition track (PharmaCoNER) at BioNLP-OST 2019.
He has also been involved in the creation and enrichment of multilingual lexical knowledge bases and other resources such as the Multilingual Central Repository 3.0 (MCR), the eXtended WordNet Domains (XWD), the MeSpEN resource or the Medical Word Embeddings for Spanish.