Decipher NER a Decipher IE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APR26552" target="_blank" >RIV/00216305:26230/12:PR26552 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/prod/index.php?id=287" target="_blank" >http://www.fit.vutbr.cz/research/prod/index.php?id=287</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Decipher NER a Decipher IE

Popis výsledku v původním jazyce

Named Entity Recognizer and Classifier takes care of identification of relevant entities - names of people, places, artworks, etc. The matching of candidate terms is realized by means of the FSA technology. The data for each particular category is storedin a separate file. A joint list is compiled into a FSA that includes all terms together with their subcategorization. The disambiguation phase takes into account a context in which a particular NE candidate string appeared decides whether it really correspond to an entity in question. Relation extractor identifies textual fragments that express a particular relation between two or more entities (or values). It can work on a simple PoS-tagged data but it can also ask the Parser package to analyse the particular piece of text in question. Relation triggers - specific expressions that signal that a relation holds - form key elements of the identification. A CRF classifier is further employed to mark beginnings and ends of particular elem

Název v anglickém jazyce

Decipher NER a Decipher IE

Popis výsledku anglicky

Named Entity Recognizer and Classifier takes care of identification of relevant entities - names of people, places, artworks, etc. The matching of candidate terms is realized by means of the FSA technology. The data for each particular category is storedin a separate file. A joint list is compiled into a FSA that includes all terms together with their subcategorization. The disambiguation phase takes into account a context in which a particular NE candidate string appeared decides whether it really correspond to an entity in question. Relation extractor identifies textual fragments that express a particular relation between two or more entities (or values). It can work on a simple PoS-tagged data but it can also ask the Parser package to analyse the particular piece of text in question. Relation triggers - specific expressions that signal that a relation holds - form key elements of the identification. A CRF classifier is further employed to mark beginnings and ends of particular elem

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

Decipher NER+IR

Technické parametry

Pro podrobnosti licenčních podmínek konzultujte: Ing. Vladimír Pavelka, Útvar transferu technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 499

Ekonomické parametry

Svobodný software

IČO vlastníka výsledku

00216305

Název vlastníka

Vysoké učení technické v Brně