Abstract
This year’s WebCLEF task was to retrieve snippets and pieces from documents on various topics. The extraction and the choice of the most widely used snippets can be carried out using various methods. However, the way in which web pages are usually converted to plain text introduces a series of problems that cause inefficiency in the retrieval. Duplicate information, absolutely irrelevants snippets or even meaningless, are some of these problems. Also, it is intended in this paper to explore the real impact of the use of several languages in obtaining relevant fragments.
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Figuerola, C.G., Alonso Berrocal, J.L., Zazo Rodríguez, Á.F., Mateos, M. (2009). Retrieval of Snippets of Web Pages Converted to Plain Text. More Questions Than Answers. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_105
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DOI: https://doi.org/10.1007/978-3-642-04447-2_105
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