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Ponencia
An Unsupervised Technique to Extract Information from Semi-structured Web Pages
(Springer, 2012-11)
We propose a technique that takes two or more web pages generated by the same server-side template and tries to learn a regular expression that represents it and helps extract relevant information from similar pages. Our ...
Artículo
ARIEX: Automated ranking of information extractors
(Elsevier, 2016)
Information extractors are used to transform the user-friendly information in a web document into structured information that can be used to feed a knowledge-based system. Researchers are interested in ranking them to ...
Ponencia
Feeding Software Agents with Web Information
(Springer, 2015)
Many software agents require information that is available in web documents. Unfortunately, the existing proposals to learn extrac tion rules are tightly coupled with the learning component and do not result in resilient ...
Artículo
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
(IEEE Xplore, 2014-06)
Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two or more web documents generated by the same server-side template ...
Artículo
TEX: An efficient and effective unsupervised Web information extractor
(ScienceDirect, 2013-02)
The World Wide Web is an immense information resource. Web information extraction is the task that transforms human friendly Web information into structured information that can be consumed by auto mated business processes. ...
Artículo
A class of neural-network-based transducers for web information extraction
(ScienceDirect, 2013-05)
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 ...