Sekot
Eneko Agirre (ORCID 0000-0002-0195-4899)
Eneko Agirre (ORCID 0000-0002-0195-4899)
Full Professor, Director of HiTZ center, member of Ixa, University of the Basque Country (UPV/EHU)
Verificēta e-pasta adrese: ehu.eus - Mājaslapa
Nosaukums
Citēts
Citēts
Gads
Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
D Cer, M Diab, E Agirre, I Lopez-Gazpio, L Specia
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
21212017
Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation
E Agirre, C Banea, D Cer, M Diab, A Gonzalez Agirre, R Mihalcea, ...
SemEval-2016. 10th International Workshop on Semantic Evaluation; 2016 Jun …, 2016
13432016
A study on similarity and relatedness using distributional and wordnet-based approaches
E Agirre, E Alfonseca, K Hall, J Kravalova, M Pasca, A Soroa
Proceedings of human language technologies: The 2009 annual conference of …, 2009
11792009
Unsupervised neural machine translation
M Artetxe, G Labaka, E Agirre, K Cho
International Conference on Learning Representations., 2017
10342017
Recent advances in natural language processing via large pre-trained language models: A survey
B Min, H Ross, E Sulem, APB Veyseh, TH Nguyen, O Sainz, E Agirre, ...
ACM Computing Surveys 56 (2), 1-40, 2023
9862023
Word Sense Disambiguation: Algorithms and Applications
E Agirre
Springer google schola 2, 1166-1174, 2007
8612007
Personalizing pagerank for word sense disambiguation
E Agirre, A Soroa
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009
7932009
* SEM 2013 shared task: Semantic textual similarity
E Agirre, D Cer, M Diab, A Gonzalez-Agirre, W Guo
Second joint conference on lexical and computational semantics (* SEM …, 2013
7582013
Semeval-2015 task 2: Semantic textual similarity, english, spanish and pilot on interpretability
E Agirre, C Banea, C Cardie, D Cer, M Diab, A Gonzalez-Agirre, W Guo, ...
Proceedings of the 9th international workshop on semantic evaluation …, 2015
7222015
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
M Artetxe, G Labaka, E Agirre
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
7152018
Semeval-2014 task 10: Multilingual semantic textual similarity
E Agirre, C Banea, C Cardie, D Cer, M Diab, A Gonzalez-Agirre, W Guo, ...
Proceedings of the 8th international workshop on semantic evaluation …, 2014
6802014
Word sense disambiguation using conceptual density
E Agirre, G Rigau
COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996
6461996
Learning bilingual word embeddings with (almost) no bilingual data
M Artetxe, G Labaka, E Agirre
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
6162017
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
M Artetxe, G Labaka, E Agirre
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
4812016
Enriching very large ontologies using the WWW
E Agirre, O Ansa, E Hovy, D Martínez
Proceedings of the First International Conference on Ontology Learning …, 2000
4402000
Survey on evaluation methods for dialogue systems
J Deriu, A Rodrigo, A Otegi, G Echegoyen, S Rosset, E Agirre, ...
Artificial Intelligence Review 54, 755-810, 2021
3552021
Random walks for knowledge-based word sense disambiguation
E Agirre, O López de Lacalle, A Soroa
Computational Linguistics 40 (1), 57-84, 2014
3552014
A proposal for word sense disambiguation using conceptual distance
E Agirre, G Rigau
AMSTERDAM STUDIES IN THE THEORY AND HISTORY OF LINGUISTIC SCIENCE SERIES 4 …, 1997
2951997
Generalizing and improving bilingual word embedding mappings with a multi-step framework of linear transformations
M Artetxe, G Labaka, E Agirre
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
2752018
Unsupervised statistical machine translation
M Artetxe, G Labaka, E Agirre
arXiv preprint arXiv:1809.01272, 2018
2712018
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