Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data (Contributo in atti di convegno)

Type

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

Label

• Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• Francesca Frontini, Valeria Quochi, Francesco Rubino (2012)
  Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data
  in AND 2012, Mumbai, India, December 9, 2012
  (literal)

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

• Francesca Frontini, Valeria Quochi, Francesco Rubino (literal)

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

• ID_PUMA: /cnr.ilc/2012-A3-008 (literal)

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

• http://www.kde.cs.tut.ac.jp/~aono/pdf/COLING2012/AND/pdf/AND04.pdf (literal)

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

• Proceedings of the Sixth Workshop on Analytics for Noisy Unstructured Text Data (literal)

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

• CNR-ILC, Pisa (literal)

Titolo

• Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data (literal)

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

• 978-1-4503-1919-5 (literal)

Abstract

• This paper describes the design of a tool for the automatic creation of multi-word lexica that is deployed as a web service and runs on automatically web-crawled data within the framework of the PANACEA platform. The main purpose of our task is to provide a (computationally \"light\") tool that creates a full high quality lexical resource of multi-word items. Within the platform, this tool is typically inserted in a work flow whose first step is automatic web-crawling. Therefore, the input data of our lexical extractor is intrinsically noisy. The paper evaluates the capacity of the tool to deal with noisy data, and in particular with texts containing a significant amount of duplicated paragraphs. The accuracy of the extraction of multi-word expressions from the original crawled corpus is compared to the accuracy of the extraction from a later \"de-duplicated\" version of the corpus. The paper shows how our method can extract with sufficiently good precision also from the original, noisy crawled data. The output of our tool is a multi-word lexicon formatted and encoded in XML according to the Lexical Mark-up Framework. (literal)

Editore

• ACM, Association for computing machinery (Editore)

Prodotto di

• Infrastrutture per l'interoperabilità e l'integrazione di Risorse e Tecnologie Linguistiche (IC.P02.005.002) (Modulo)
• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)

Autore CNR

• VALERIA QUOCHI (Persona)
• FRANCESCO RUBINO (Persona)
• FRANCESCA FRONTINI (Persona)

Insieme di parole chiave

• Keywords of "Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)
• Infrastrutture per l'interoperabilità e l'integrazione di Risorse e Tecnologie Linguistiche (IC.P02.005.002) (Modulo)

Autore CNR di

• FRANCESCO RUBINO (Persona)
• FRANCESCA FRONTINI (Persona)
• VALERIA QUOCHI (Persona)

Editore di

• ACM, Association for computing machinery (Editore)

Insieme di parole chiave di

• Keywords of "Automatic Creation of Quality Multi-Word Lexica from Noisy Text Data" (Insieme di parole chiave)