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.
Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text
Emiliano Giovannetti;Simone Marchi
2011
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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Emiliano Giovannetti | it |
| dc.authority.people | Simone Marchi | it |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/16 17:15:34 | - |
| dc.date.available | 2024/02/16 17:15:34 | - |
| dc.date.issued | 2011 | - |
| dc.description.abstracteng | 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. | - |
| dc.description.affiliations | Istituto di Linguistica Computazionale "A. Zampolli" - CNR | - |
| dc.description.allpeople | Giovannetti, Emiliano; Marchi, Simone | - |
| dc.description.allpeopleoriginal | Emiliano Giovannetti, Simone Marchi | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 2 | - |
| dc.identifier.isbn | 9788360810477 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/244994 | - |
| dc.identifier.url | https://web.archive.org/web/20121101020859/http://www.proceedings2011.cla-conf.info/ | - |
| dc.language.iso | eng | - |
| dc.relation.alleditors | K. Jassem, P. Fuglewicz, M. Piasecki, A. Przepiorkowski | - |
| dc.relation.conferencedate | 17-19 ottobre 2011 | - |
| dc.relation.conferencename | Computational Linguistics Application Conference - CLA 2011 | - |
| dc.relation.conferenceplace | Jachranka, Poland | - |
| dc.relation.firstpage | 29 | - |
| dc.relation.ispartofbook | Proceedings of the Computational Linguistics-Applications Conference | - |
| dc.relation.lastpage | 36 | - |
| dc.relation.numberofpages | 8 | - |
| dc.subject.keywords | Computational Linguistics | - |
| dc.subject.keywords | Cross Language | - |
| dc.subject.keywords | semantic relation extraction systems | - |
| dc.subject.keywords | Ontology Learning from Text | - |
| dc.subject.singlekeyword | Computational Linguistics | * |
| dc.subject.singlekeyword | Cross Language | * |
| dc.subject.singlekeyword | semantic relation extraction systems | * |
| dc.subject.singlekeyword | Ontology Learning from Text | * |
| dc.title | Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 282633 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 17:55:44 | * |
| iris.orcid.lastModifiedMillisecond | 1712246144377 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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