Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Luis Espinosa Anke"'
Autor:
David Owen, Dimosthenis Antypas, Athanasios Hassoulas, Antonio F Pardiñas, Luis Espinosa-Anke, Jose Camacho Collados
Publikováno v:
JMIR AI, Vol 2, p e41205 (2023)
BackgroundMajor depressive disorder is a common mental disorder affecting 5% of adults worldwide. Early contact with health care services is critical for achieving accurate diagnosis and improving patient outcomes. Key symptoms of major depressive di
Externí odkaz:
https://doaj.org/article/6bea336bf6714aed9510894e16a2788d
Autor:
Luis Espinosa-Anke, Geraint Palmer, Padraig Corcoran, Maxim Filimonov, Irena Spasić, Dawn Knight
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6541 (2021)
Cross-lingual embeddings are vector space representations where word translations tend to be co-located. These representations enable learning transfer across languages, thus bridging the gap between data-rich languages such as English and others. In
Externí odkaz:
https://doaj.org/article/2b3b4d981f604935a7af108d76d1294d
Autor:
Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
ECIR 2023: Advances in Information Retrieval
European Conference on Information Retrieval
European Conference on Information Retrieval, Apr 2023, Dublin, Ireland. pp.499-505, ⟨10.1007/978-3-031-28241-6_58⟩
ECIR 2023: Advances in Information Retrieval
European Conference on Information Retrieval
European Conference on Information Retrieval, Apr 2023, Dublin, Ireland. pp.499-505, ⟨10.1007/978-3-031-28241-6_58⟩
International audience; In this paper, we describe the plans for the first LongEval CLEF 2023 shared task dedicated to evaluating the temporal persistence of Information Retrieval (IR) systems and Text Classifiers. The task is motivated by recent res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94f8c74f3d421c3f7797e204b8a0b800
https://doi.org/10.1007/978-3-031-28241-6_58
https://doi.org/10.1007/978-3-031-28241-6_58
Autor:
David Owen, Dimosthenis Antypas, Athanasios Hassoulas, Antonio F Pardiñas, Luis Espinosa-Anke, Jose Camacho Collados
BACKGROUND Major depressive disorder is a common mental disorder affecting 5% of adults worldwide. Early contact with health care services is critical for achieving accurate diagnosis and improving patient outcomes. Key symptoms of major depressive d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5860024c3b72e8fc6d2f59fe1e5e5f9b
https://doi.org/10.2196/preprints.41205
https://doi.org/10.2196/preprints.41205
Autor:
Ignacio Hernández Medrano, Jorge Tello Guijarro, Cristóbal Belda, Alberto Ureña, Ignacio Salcedo, Luis Espinosa-Anke, Horacio Saggion
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 4, Iss 7, Pp 8-2 (2018)
Health information grows exponentially (doubling every 5 years), thus generating a sort of inflation of science, i.e. the generation of more knowledge than we can leverage. In an unprecedented data-driven shift, today doctors have no longer time to k
Externí odkaz:
https://doaj.org/article/1cbe5a7fe44742d798b1dec20524e36b
Publikováno v:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647604bbc4706038fbe1ec67af86d3e3
https://doi.org/10.18653/v1/2022.semeval-1.20
https://doi.org/10.18653/v1/2022.semeval-1.20
Autor:
Devansh Jain, Luis Espinosa Anke
In this paper, we analyze zero-shot taxonomy learning methods which are based on distilling knowledge from language models via prompting and sentence scoring. We show that, despite their simplicity, these methods outperform some supervised strategies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f439005bbc7f8f44b254b8621ce0cc4
Publikováno v:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edadff4f4e32c8eb8550357e059395d7
https://doi.org/10.18653/v1/2022.semeval-1.38
https://doi.org/10.18653/v1/2022.semeval-1.38
Publikováno v:
6th Workshop on Representation Learning for NLP (RepL4NLP 2021)
One of the long-standing challenges in lexical semantics consists in learning representations of words which reflect their semantic properties. The remarkable success of word embeddings for this purpose suggests that high-quality representations can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532cfedd138a04a81b22d370aea2ca71
http://arxiv.org/abs/2106.07947
http://arxiv.org/abs/2106.07947