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Unsupervised relation extraction by massive clustering
dc.contributor.author | González Pellicer, Edgar |
dc.contributor.author | Turmo Borras, Jorge |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2010-10-01T09:01:20Z |
dc.date.available | 2010-10-01T09:01:20Z |
dc.date.created | 2009 |
dc.date.issued | 2009 |
dc.identifier.citation | González, E.; Turmo, J. Unsupervised relation extraction by massive clustering. A: IEEE International Conference On Data Mining. "9th IEEE International Conference On Data Mining". Miami: 2009, p. 782-787. |
dc.identifier.uri | http://hdl.handle.net/2117/9229 |
dc.description.abstract | The 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 of Information Extraction system adaptation. However, elements of human supervision strongly bias the learning process. Unsupervised learning approaches can avoid these biases. In this paper, we propose an unsupervised approach to learning for Relation Detection, based on the use of massive clustering ensembles. The results obtained on the ACE Relation Mention Detection task outperform in terms of F1 score by 5 points the state of the art of unsupervised techniques for this evaluation framework, in addition to being simpler and more flexible. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject.lcsh | Data mining -- Data processing |
dc.subject.lcsh | Information retrieval |
dc.subject.lcsh | Text analysis |
dc.subject.lcsh | Pattern clustering |
dc.title | Unsupervised relation extraction by massive clustering |
dc.type | Conference report |
dc.subject.lemac | Mineria de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
dc.identifier.doi | 10.1109/ICDM.2009.81 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5360311&queryText%3Dgonz%C3%A0lez+icdm+2009%26openedRefinements%3D*%26searchField%3DSearch+All |
dc.rights.access | Open Access |
local.identifier.drac | 3093979 |
dc.description.version | Postprint (published version) |
local.citation.author | González, E.; Turmo, J. |
local.citation.contributor | IEEE International Conference On Data Mining |
local.citation.pubplace | Miami |
local.citation.publicationName | 9th IEEE International Conference On Data Mining |
local.citation.startingPage | 782 |
local.citation.endingPage | 787 |