We present GlossBoot, an effective minimally-supervised approach to acquiring wide-coverage domain glossaries for many languages. For each language of interest, given a small number of hypernymy relation seeds concerning a target domain, we bootstrap a glossary from the Web for that domain by means of iteratively acquired term/gloss extraction patterns. Our experiments show high performance in the acquisition of domain terminologies and glossaries for three different languages.
GlossBoot: Bootstrapping Multilingual Domain Glossaries from the Web / FLAVIO DE, B., Faralli, S., Navigli, R.. - STAMPA. - (2013), pp. 528-538. (ACL 2013 Sofia, Bulgaria August 4-9, 2013).
GlossBoot: Bootstrapping Multilingual Domain Glossaries from the Web
FARALLI, Stefano;NAVIGLI, ROBERTO
2013
Abstract
We present GlossBoot, an effective minimally-supervised approach to acquiring wide-coverage domain glossaries for many languages. For each language of interest, given a small number of hypernymy relation seeds concerning a target domain, we bootstrap a glossary from the Web for that domain by means of iteratively acquired term/gloss extraction patterns. Our experiments show high performance in the acquisition of domain terminologies and glossaries for three different languages.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
