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Olatz Arregi
Olatz Arregi
Univertity of the Basque Country (UPV/EHU)
Verified email at ehu.eus
Title
Cited by
Cited by
Year
Introducción al diseño lógico digital
JP Hayes
Wilmington: Addison-Wesley Iberoamerica,, 1996
471996
A multiclass/multilabel document categorization system: Combining multiple classifiers in a reduced dimension
A Zelaia, I Alegria, O Arregi, B Sierra
Applied Soft Computing 11 (8), 4981-4990, 2011
252011
Mention detection: First steps in the development of a Basque coreference resolution system.
A Soraluze, O Arregi, X Arregi, K Ceberio, AD de Ilarraza
KONVENS, 128-136, 2012
232012
Design and development of a named entity recognizer for an agglutinative language
I Alegria, O Arregi, I Balza, N Ezeiza, I Fernandez, R Urizar
First International Joint Conference on NLP (IJCNLP-04). Workshop on Named …, 2004
192004
Lessons from the development of a named entity recognizer for Basque
I Alegria, O Arregi, N Ezeiza, I Fernández
Procesamiento del lenguaje natural, 25-37, 2006
172006
IXAGroupEHUSpaceEval:(X-Space) A WordNet-based approach towards the automatic recognition of spatial information following the ISO-Space annotation scheme
H Salaberri, O Arregi, B Zapirain
Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015
162015
Deep cross-lingual coreference resolution for less-resourced languages: The case of basque
G Urbizu, A Soraluze, O Arregi
Proceedings of the second workshop on computational models of reference …, 2019
152019
A first machine learning approach to pronominal anaphora resolution in Basque
O Arregi, K Ceberio, A Díaz de Illarraza, I Goenaga, B Sierra, A Zelaia
Advances in Artificial Intelligence–IBERAMIA 2010: 12th Ibero-American …, 2010
122010
Analyzing the effect of dimensionality reduction in document categorization for basque
A Zelaia, I Alegria, O Arregi, B Sierra
Culture 600, 202, 2005
92005
Coreference Resolution for Morphologically Rich Languages. Adaptation of the Stanford System to Basque.
A Soraluze, O Arregi, X Arregi, AD de Ilarraza
Procesamiento del Lenguaje Natural 55, 23-30, 2015
82015
Evaluation of the optimal strategy for managing the register file
O Arregi, C Rodríguez, A Ibarra
Microprocessing and microprogramming 30 (1-5), 143-150, 1990
81990
Enriching basque coreference resolution system using semantic knowledge sources
A Soraluze, O Arregi, X Arregi, AD de Ilarraza
Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes …, 2017
72017
Coreference resolution for the basque language with bart
A Soraluze, O Arregi, X Arregi, AD de Ilarraza, M Kabadjov, M Poesio
Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes …, 2016
72016
Combining Singular Value Decomposition and a multi-classifier: A new approach to support coreference resolution
A Zelaia, O Arregi, B Sierra
Engineering Applications of Artificial Intelligence 46, 279-286, 2015
72015
Ixagroupehudiac: A multiple approach system towards the diachronic evaluation of texts
H Salaberri, I Salaberri, O Arregi, B Zapirain
Proceedings of the 9th international workshop on semantic evaluation …, 2015
72015
First approach toward Semantic Role Labeling for Basque.
H Salaberri, O Arregi, B Zapirain
LREC, 1387-1393, 2014
72014
Determination of features for a machine learning approach to pronominal anaphora resolution in Basque
O Arregi, K Ceberio, AD de Illarraza, I Goenaga, B Sierra, A Zelaia
Procesamiento del lenguaje natural 45, 291-294, 2010
72010
A multiclassifier based document categorization system: profiting from the singular value decomposition dimensionality reduction technique
A Zelaia, I Alegria, O Arregi, B Sierra
Proceedings of the Workshop on Learning Structured Information in Natural …, 2006
72006
Improving mention detection for Basque based on a deep error analysis
A Soraluze, O Arregi, X Arregi, AD De Ilarraza
Natural Language Engineering 23 (3), 351-384, 2017
62017
Recognition and classification of numerical entities in Basque
A Soraluze, I Alegria, O Ansa, O Arregi, X Arregi
Proceedings of the International Conference Recent Advances in Natural …, 2011
62011
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