A New Approach to Pseudoword Generation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89518" target="_blank" >RIV/00216305:26230/10:PU89518 - 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

A New Approach to Pseudoword Generation

Popis výsledku v původním jazyce

Sense-tagged corpora are used to evaluate word sense disambiguation (WSD)systems. Manual creation of such resources is often prohibitively expensive.That is why the concept of pseudowords - conflations of two or moreunambiguous words - has been integrated into WSD evaluation experiments. Thispaper presents a new method of pseudoword generation which takes into accountsemantic-relatedness of the candidate words forming parts of the pseudowords tothe particular senses of the word to be disambiguated. We compare the newapproach to its alternatives and show that the results on pseudowords, that aremore similar to real ambiguous words, better correspond to the actual results.Two techniques assessing the similarity are studied - the first one takesadvantageof manually created dictionaries (wordnets), the second one builds onthe automatically computed statistical data obtained from large corpora. Prosand cons of the two techniques are discussed and the results on a standard taskare demonstra

Název v anglickém jazyce

A New Approach to Pseudoword Generation

Popis výsledku anglicky

Sense-tagged corpora are used to evaluate word sense disambiguation (WSD)systems. Manual creation of such resources is often prohibitively expensive.That is why the concept of pseudowords - conflations of two or moreunambiguous words - has been integrated into WSD evaluation experiments. Thispaper presents a new method of pseudoword generation which takes into accountsemantic-relatedness of the candidate words forming parts of the pseudowords tothe particular senses of the word to be disambiguated. We compare the newapproach to its alternatives and show that the results on pseudowords, that aremore similar to real ambiguous words, better correspond to the actual results.Two techniques assessing the similarity are studied - the first one takesadvantageof manually created dictionaries (wordnets), the second one builds onthe automatically computed statistical data obtained from large corpora. Prosand cons of the two techniques are discussed and the results on a standard taskare demonstra

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

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

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)

ISBN

2-9517408-6-7

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

European Language Resources Association

Místo vydání

Valletta

Místo konání akce

Valletta

Datum konání akce

17. 5. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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