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In this paper, we focus on Wikipedia as the source corpus and on DBpedia as the target KB. We propose to apply NLP techniques to Wikipedia text in order to harvest structured facts that can be used to automatically add novel statements to DBpedia. Our FACT EXTRACTOR is set apart from related state of the art thanks to the combination of the following contributions:
http://purl.org/np/RAuCq7EB5pAGo_OfThAKBKSLtdlpgqWE-C5ET5pQAG4tg#paragraph
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http://dx.doi.org/10.3233/SW-170269
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2019-11-10T12:34:11+01:00
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https://orcid.org/0000-0002-7114-6459