BUT Recognizer of GeoNames

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APR26019" target="_blank" >RIV/00216305:26230/11:PR26019 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/prod/index.php?id=228" target="_blank" >http://www.fit.vutbr.cz/research/prod/index.php?id=228</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

BUT Recognizer of GeoNames

Popis výsledku v původním jazyce

There are many aspects and objectives we had in mind when designing the new NER. First, it should avoid the performance bottlenecks common for the webbased APIs such as OpenCalais or AlchemyAPI. Second, it needs to achieve excellent precision and recallfor geographical features, especially for places in Europe. Finally, the tool should perform disambiguation and normalization alongside the recognition process. To meet the second objective, we utilized the Geonames.org data exported from the database, which contains over 10 millions geographical features. Efficiency is brought by the finite state automaton (FSA) technology that can deal with the huge lists of names and is very fast in searching the input texts. We employed an efficient algorithm for constructing the minimal FSA described in Daciuk et al. (1998). A freely available package provided by the first author of the paper allows building a minimal FSA from a list of pre-defined keywords. The resulting representation for all the

Název v anglickém jazyce

BUT Recognizer of GeoNames

Popis výsledku anglicky

There are many aspects and objectives we had in mind when designing the new NER. First, it should avoid the performance bottlenecks common for the webbased APIs such as OpenCalais or AlchemyAPI. Second, it needs to achieve excellent precision and recallfor geographical features, especially for places in Europe. Finally, the tool should perform disambiguation and normalization alongside the recognition process. To meet the second objective, we utilized the Geonames.org data exported from the database, which contains over 10 millions geographical features. Efficiency is brought by the finite state automaton (FSA) technology that can deal with the huge lists of names and is very fast in searching the input texts. We employed an efficient algorithm for constructing the minimal FSA described in Daciuk et al. (1998). A freely available package provided by the first author of the paper allows building a minimal FSA from a list of pre-defined keywords. The resulting representation for all the

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7E10054" target="_blank" >7E10054: Medical EcoSystem-Personalized Event-Based Suveillance</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

BURGeoN

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