Exploració per autor "González Pellicer, Edgar"
Ara es mostren els items 1-8 de 8
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Comparing non-parametric ensemble methods for document clustering
(Springer Verlag, 2008)
Text en actes de congrés
Accés restringit per política de l'editorialThe biases of individual algorithms for non-parametric document clustering can lead to non-optimal solutions. Ensemble clustering methods may overcome this limitation, but have not been applied to document collections. ... -
Non-parametric document clustering by ensemble methods
(2008-03)
Article
Accés obertLos sesgos de los algoritmos individuales para clustering no paramétrico de documentos pueden conducir a soluciones no óptimas. Los métodos de consenso podrían compensar esta limitación, pero no han sido probados sobre ... -
ParTes. Test suite for parsing evaluation
(2014-09-01)
Article
Accés obertThis paper presents ParTes, the first test suite in Spanish and Catalan for parsing qualitative evaluation. This resource is a hierarchical test suite of the representative syntactic structure and argument order phenomena. ... -
TALP-UPC at TREC 2005: Experiments using voting scheme among three heterogeneous QA systems
(2005)
Text en actes de congrés
Accés obertThis paper describes the experiments of the TALP-UPC group for factoid and ’other’ (definitional) questions at TREC 2005 Main Question Answering (QA)task. Our current approach for factoid questions is based on a voting ... -
The TALP participation at TAC-KBP 2012
(2012)
Text en actes de congrés
Accés obertThis document describes the work performed by the Universitat Politècnica de Catalunya (UPC) in its first participation at TAC-KBP 2012 in both the Entity Linking and the Slot Filling tasks. -
Unsupervised document clustering by weighted combination
(2006-05)
Report de recerca
Accés obertThis report proposes a novel unsupervised document clustering approach based on weighted combination of individual clusterings. Two non-weighted combination methods are adapted to work in a weighted fashion: a graph based ... -
Unsupervised ensemble minority clustering
(2012-03)
Report de recerca
Accés obertCluster a alysis lies at the core of most unsupervised learning tasks. However, the majority of clustering algorithms depend on the all-in assumption, in which all objects belong to some cluster, and perform poorly on ... -
Unsupervised relation extraction by massive clustering
(2009)
Text en actes de congrés
Accés obertThe goal of Information Extraction is to automatically generate structured pieces of information from the relevant information contained in text documents. Machine Learning techniques have been applied to reduce the cost ...
