dc.creator | Sleiman, Hassan A. | es |
dc.creator | Corchuelo Gil, Rafael | es |
dc.date.accessioned | 2023-03-06T12:43:11Z | |
dc.date.available | 2023-03-06T12:43:11Z | |
dc.date.issued | 2013-05 | |
dc.identifier.citation | Sleiman, H.A. y Corchuelo Gil, R. (2013). A class of neural-network-based transducers for web information extraction. Neurocomputing, 135 (5), 61-68. https://doi.org/10.1016/j.neucom.2013.05.057. | |
dc.identifier.issn | 0925-2312 (impreso) | es |
dc.identifier.issn | 1872-8286 (online) | es |
dc.identifier.uri | https://hdl.handle.net/11441/143173 | |
dc.description.abstract | The Web is a huge and still growing information repository that has attracted the attention of many companies. Many such companies rely on information extractors to integrate information that is buried into semi-structured web documents into automatic business processes. Many information extractors build on extraction rules,which can be hand crafted or learned using supervised or unsupervised techniques.
The literature provides a variety of techniques to learn information extraction rules that build on ad hoc machine learning techniques. In this paper, we propose a hybrid approach that explores the use of standard machine-learning techniques to extract web information. We have specifically explored using neural networks; our results show that our proposal out performs three state-of-the-arttechniques in the literature, which opens up quite a new approach to information extraction. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2007-64119 | es |
dc.description.sponsorship | Junta de Andalucía P07-TIC-2602 | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC- 4100 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2008-04718-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-21744 | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad TIN2010-09809-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-10811-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-09988-E | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2011-15497-E | es |
dc.format | application/pdf | es |
dc.format.extent | 8 | es |
dc.language.iso | eng | es |
dc.publisher | ScienceDirect | es |
dc.relation.ispartof | Neurocomputing, 135 (5), 61-68. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | web wrappers | es |
dc.subject | web informationextraction | es |
dc.subject | neural networks | es |
dc.subject | finite automata | es |
dc.subject | machine learning | es |
dc.subject | supervised method | es |
dc.title | A class of neural-network-based transducers for web information extraction | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2007-64119 | es |
dc.relation.projectID | P07-TIC-2602 | es |
dc.relation.projectID | P08-TIC- 4100 | es |
dc.relation.projectID | TIN2008-04718-E | es |
dc.relation.projectID | TIN2010-21744 | es |
dc.relation.projectID | TIN2010-09809-E | es |
dc.relation.projectID | TIN2010-10811-E | es |
dc.relation.projectID | TIN2010-09988-E | es |
dc.relation.projectID | TIN2011-15497-E | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0925231213011387 | es |
dc.identifier.doi | 10.1016/j.neucom.2013.05.057 | es |
dc.journaltitle | Neurocomputing | es |
dc.publication.volumen | 135 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 61 | es |
dc.publication.endPage | 68 | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Ministerio de Economía, Industria y Competitividad | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |