Tien T. Phan

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Relation extraction with accurate precision is still a challenge when processing full text databases. We propose an approach based on cooc-currence analysis in each document for which we used document organization to improve accuracy of relation extraction. This approach is implemented in a R package called x.ent. Another facet of extraction relies on use(More)
Important data are locked in ancient literature. It would be uneconomic to produce these data again and today or to extract them without the help of text mining technologies. Vespa is a text mining project whose aim is to extract data on pest and crops interactions, to model and predict attacks on crops, and to reduce the use of pesticides. A few attempts(More)
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