2022-04-282022-04-282011Sleiman, 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.1-60132-185-6https://hdl.handle.net/11441/132812In 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 ratesapplication/pdf6engAn error occurred on the license name.An error occurred getting the license - uri.Web information extractionInferring Transducersinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess