Ponencia
A Transducer Model for Web Information Extraction
Autor/es | Sleiman, Hassan A.
Hernández Salmerón, Inmaculada Concepción Fernández, Gretel Corchuelo Gil, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2011 |
Fecha de depósito | 2022-04-28 |
Publicado en |
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ISBN/ISSN | 1-60132-185-6 |
Resumen | In recent years, many authors have paid attention to
web information extractors. They usually build on an algorithm
that interprets extraction rules that are inferred from examples.
Several rule learning techniques are ... In recent years, many authors have paid attention to web information extractors. They usually build on an algorithm that interprets extraction rules that are inferred from examples. Several rule learning techniques are based on transducers, but none of them proposed a transducer generic model for web in formation extraction. In this paper, we propose a new transducer model that is specifically tailored to web information extraction. The model has proven quite flexible since we have adapted three techniques in the literature to infer state transitions, and the results prove that it can achieve high precision and recall rates |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Economia, Industria y Competitividad (MINECO). España Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN2007-64119
P07-TIC-2602 P08-TIC-4100 TIN2008-04718-E TIN2010-21744 TIN2010-09809-E TIN2010-10811-E TIN2010-09988-E |
Cita | Sleiman, H.A., Hernández Salmerón, I.C., Fernández, G. y Corchuelo Gil, R. (2011). A Transducer Model for Web Information Extraction. En ICAI 2011 : International Conference on Artificial Intelligence (965-969), Las Vegas, Nevada, USA: CSREA Press. |
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