The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora. - Antonio Miranda-Escalada; Eulàlia Farré-Maduell; Salvador Lima-López; Luis Gascó; Vicent Brivá-Iglesias; Marvin M. Agüero-Torales; Martin Krallinger (SMM4H@NAACL-HLT, 2021)

NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. - Salvador Lima-López; Eulàlia Farré-Maduell; Antonio Miranda-Escalada; Vicent Brivá-Iglesias; Martin Krallinger (Proces. del Leng. Natural, 2021)

Measuring Machine Translation User Experience (MTUX): A Comparison between AttrakDiff and User Experience Questionnaire. - Vicent Brivá-Iglesias; Sharon O'Brien (EAMT, 2023)

MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts. - Salvador Lima-López; Eulàlia Farré-Maduell; Vicent Brivá-Iglesias; Luis Gascó Sánchez; Martin Krallinger (Proces. del Leng. Natural, 2023)

Pre-task perceptions of MT influence quality and productivity: the importance of better translator-computer interactions and implications for training. - Vicent Brivá-Iglesias; Sharon O'Brien (EAMT (1), 2024)

Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain? - Vicent Brivá-Iglesias; João Lucas Cavalheiro Camargo; Gokhan Dogru (CoRR, 2024)

Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication. - Vicent Brivá-Iglesias (CoRR, 2025)

AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains. - Vicent Brivá-Iglesias; Gokhan Dogru (CoRR, 2025)