Large-Scale Knowledge Acquisition from Botanical Texts

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Large-Scale Knowledge Acquisition from Botanical Texts
Free text botanical descriptions contained in printed floras can provide a wealth of valuable scientific information. In spite of this richness, these texts have seldom been analyzed on a large scale using NLP techniques. To fill this gap, we describe how we managed to extract a set of terminological resources by parsing a large corpus of botanical texts. The tools and techniques used are presented as well as the rationale for favoring a deep parsing approach coupled with error mining methods over a simple pattern matching approach.
François Role, Milagros Fernandez Gavilanes
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where NLDB
Authors François Role, Milagros Fernandez Gavilanes, Eric Villemonte de la Clergerie
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