no code implementations • 30 Sep 2019 • Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
This is a serious issue for low-resource language pairs and many specialized translation domains that are inherently limited in the amount of available supervised data.
no code implementations • NAACL 2019 • Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili, Massimo Piccardi
Regularization of neural machine translation is still a significant problem, especially in low-resource settings.
1 code implementation • WS 2018 • Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
Automatic post-editing (APE) systems aim to correct the systematic errors made by machine translators.
1 code implementation • 29 Jun 2017 • Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary.
1 code implementation • COLING 2016 • Hanieh Poostchi, Ehsan Zare Borzeshi, Mohammad Abdous, Massimo Piccardi
Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources.
1 code implementation • 25 Nov 2016 • Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Automated extraction of concepts from patient clinical records is an essential facilitator of clinical research.
1 code implementation • WS 2016 • Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Extraction of concepts present in patient clinical records is an essential step in clinical research.
1 code implementation • WS 2016 • Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Drug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) pipeline.