http://www.cnr.it/ontology/cnr/individuo/prodotto/ID282633
Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (Contributo in atti di convegno)
- Type
- Label
- Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Alternative label
Emiliano Giovannetti, Simone Marchi (2011)
Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text
in Computational Linguistics Application Conference - CLA 2011, Jachranka, 17-19 ottobre 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Emiliano Giovannetti, Simone Marchi (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.proceedings2011.cla-conf.info/ (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of the Computational Linguistics-Applications Conference (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Linguistica Computazionale \"A. Zampolli\" - CNR (literal)
- Titolo
- Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-83-60810-47-7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- K. Jassem, P. Fuglewicz, M. Piasecki, A. Przepi ?orkowski (literal)
- Abstract
- In this work we propose a novel technique called \"Cross-Language Boosting\" (C-LB), aimed at increasing the accuracy of pattern-based semantic relation extraction systems: given a pair of terms expressed in a \"Target Language\" (e.g. in Italian), we can translate the terms in a \"Support Language\" (e.g. in English) and apply the translated term pair to reliable lexico-syntactic patterns expressed in that language to increase the accuracy of the system. Experiments have been conducted by comparing the results obtained by the SemRelEx system, a hybrid unsupervised system for semantic relation extraction from texts,
with and without the support of the C-LB technique, applied to a set of candidate semantically related term pairs automatically extracted from a corpus in the History of Art domain. (literal)
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