Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text (Contributo in atti di convegno) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

Alternative label

• Giovannetti E.; Marchi S.; Montemagni S. (2008)
  Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text
  in SWAP 2008 - Semantic Web Applications and Perspectives, Roma, 15-17 December 2008
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Giovannetti E.; Marchi S.; Montemagni S. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-426/swap2008_submission_54.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: SWAP 2008 - Semantic Web Applications and Perspectives (Rome, 15-17 December 2008). Proceedings, vol. 426. Aldo Gangemi, Johannes Keizer, Valentina Presutti, Heiko Stoermer (eds.). CEUR Workshop Proceedings, 2008. http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-426/swap2008_submission_54.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the linguistically analyzed corpus to detect a first set of pairs of co-occurring words, possibly involved in \"syntagmatic\" relations. On the other hand, a statistical unsupervised association system is used to obtain a second set of pairs of \"distributionally similar\" terms, that appear to occur in similar contexts, thus possibly involved in \"paradigmatic\" relations. The approach aims at learning ontological information by filtering the candidate relations obtained through generic lexico-syntactic patterns and by labelling the anonymous relations obtained through the statistical system. The resulting set of relations can be used to enrich existing ontologies and for semantic annotation of documents or web pages. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ILC-CNR (literal)

Titolo

• Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

• Aldo Gangemi, Johannes Keizer, Valentina Presutti, Heiko Stoermer (literal)

Abstract

• We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the linguistically analyzed corpus to detect a first set of pairs of co-occurring words, possibly involved in \"syntagmatic\" relations. On the other hand, a statistical unsupervised association system is used to obtain a second set of pairs of \"distributionally similar\" terms, that appear to occur in similar contexts, thus possibly involved in \"paradigmatic\" relations. The approach aims at learning ontological information by filtering the candidate relations obtained through generic lexico-syntactic patterns and by labelling the anonymous relations obtained through the statistical system. The resulting set of relations can be used to enrich existing ontologies and for semantic annotation of documents or web pages. (literal)

Prodotto di

• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)
• Tecnologie linguistiche e gestione della conoscenza (IC.P02.004.001) (Modulo)

Autore CNR

• EMILIANO GIOVANNETTI (Unità di personale esterno)
• SIMONETTA MONTEMAGNI (Unità di personale interno)
• SIMONE MARCHI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• SIMONETTA MONTEMAGNI (Unità di personale interno)
• SIMONE MARCHI (Unità di personale interno)
• EMILIANO GIOVANNETTI (Unità di personale esterno)

Prodotto

• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)
• Tecnologie linguistiche e gestione della conoscenza (IC.P02.004.001) (Modulo)

Insieme di parole chiave di

• Keywords of "Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text" (Insieme di parole chiave)