E-viri
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Zitnik, Slavko; Draskovic, Drazen; Nikolic, Bosko; Bajec, Marko
2017 25th Telecommunication Forum (TELFOR), 2017-Nov.Conference Proceeding
Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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