[ANNOUNCE] Fact Extraction from Wikipedia Text datasets released
Marco Fossati <[email protected]>
| Newsgroups | gmane.comp.hci.acm-sigchi.resources |
|---|---|
| Message-ID | <[email protected]> |
[Begging pardon if you read this multiple times] The Italian DBpedia chapter, on behalf of the whole DBpedia Association, is thrilled to announce the release of new datasets extracted from Wikipedia text. This is the outcome of an outstanding Google Summer of Code 2015 project, which implements NLP techniques to acquire structured facts from a textual corpus. The approach has been tested on the soccer use case, with the Italian Wikipedia as input. The datasets are publicly available at: http://it.dbpedia.org/downloads/fact-extraction/ and loaded into the SPARQL endpoint at: http://it.dbpedia.org/sparql You can check out this article for more details: http://it.dbpedia.org/2015/09/meno-chiacchiere-piu-fatti-una-marea-di-nuovi-dati-estratti-dal-testo-di-wikipedia/?lang=en If you feel adventurous, you can fork the codebase at: https://github.com/dbpedia/fact-extractor Get in touch with Marco at [email protected] for everything else. Best regards, Marco Fossati --------------------------------------------------------------- To unsubscribe, send an empty email to mailto:[email protected] For further details of CHI lists see http://listserv.acm.org ---------------------------------------------------------------