Semantic Annotation for the LingvoSemantics Project

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00502153" target="_blank" >RIV/49777513:23520/09:00502153 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Semantic Annotation for the LingvoSemantics Project

Popis výsledku v původním jazyce

In this paper, a methodology of semantic annotation of the LingvoSemantic corpus is presented. Semantic annotation is usually a time consuming and expensive process. We thus developed a methodology that significantly reduces the demands of the process. The methodology consists of a set of techniques and computer tools designed to simplify the process as much as possible. We claim that in this way it is possible to obtain sufficient amount of annotated data in a reasonable time frame. The LingvoSemanticproject focuses on semantic analysis of user questions to an Internet information retrieval system. The bootstrapping method was used during the corpus annotation. The resulting annotated corpus consists of 20292 annotated sentences. Our approach significantly improved the efficiency of the annotation. The results, as well as a set of recommendations for creating the annotated data, are presented at the end of the paper.

Název v anglickém jazyce

Semantic Annotation for the LingvoSemantics Project

Popis výsledku anglicky

In this paper, a methodology of semantic annotation of the LingvoSemantic corpus is presented. Semantic annotation is usually a time consuming and expensive process. We thus developed a methodology that significantly reduces the demands of the process. The methodology consists of a set of techniques and computer tools designed to simplify the process as much as possible. We claim that in this way it is possible to obtain sufficient amount of annotated data in a reasonable time frame. The LingvoSemanticproject focuses on semantic analysis of user questions to an Internet information retrieval system. The bootstrapping method was used during the corpus annotation. The resulting annotated corpus consists of 20292 annotated sentences. Our approach significantly improved the efficiency of the annotation. The results, as well as a set of recommendations for creating the annotated data, are presented at the end of the paper.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/2C06009" target="_blank" >2C06009: Prostředky tvorby komplexní báze znalostí pro komunikaci se sémantickým webem v přirozeném jazyce</a><br>

Návaznosti

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

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech and Dialogue

ISBN

978-3-642-04207-2

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Plzeň

Datum konání akce

17. 9. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000270445700040