In this paper we present ULISSE, an unsupervised linguistically--driven algorithm to select reliable parses from the output of a dependency parser. Different experiments were devised to show that the algorithm is robust enough to deal with the output of different parsers and with different languages, as well as to be used across different domains. In all cases, ULISSE appears to outperform the baseline algorithms.

ULISSE: an unsupervised algorithm for detecting reliable dependency parses

Felice Dell'Orletta;Giulia Venturi;Simonetta Montemagni
2011

Abstract

In this paper we present ULISSE, an unsupervised linguistically--driven algorithm to select reliable parses from the output of a dependency parser. Different experiments were devised to show that the algorithm is robust enough to deal with the output of different parsers and with different languages, as well as to be used across different domains. In all cases, ULISSE appears to outperform the baseline algorithms.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Felice Dell'Orletta it
dc.authority.people Giulia Venturi it
dc.authority.people Simonetta Montemagni 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 2024/02/20 20:55:05 -
dc.date.available 2024/02/20 20:55:05 -
dc.date.issued 2011 -
dc.description.abstracteng In this paper we present ULISSE, an unsupervised linguistically--driven algorithm to select reliable parses from the output of a dependency parser. Different experiments were devised to show that the algorithm is robust enough to deal with the output of different parsers and with different languages, as well as to be used across different domains. In all cases, ULISSE appears to outperform the baseline algorithms. -
dc.description.affiliations CNR-ILC -
dc.description.allpeople Dell'Orletta, Felice; Venturi, Giulia; Montemagni, Simonetta -
dc.description.allpeopleoriginal Felice Dell'Orletta, Giulia Venturi and Simonetta Montemagni -
dc.description.fulltext none en
dc.description.note ID_PUMA: cnr.ilc/2011-A2-006 -
dc.description.numberofauthors 3 -
dc.identifier.isbn 978-1-932432-92-3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/214925 -
dc.identifier.url http://dl.acm.org/citation.cfm?id=2018950 -
dc.language.iso eng -
dc.miur.last.status.update 2024-12-16T11:59:11Z *
dc.relation.conferencedate 23-24 Giugno 2011 -
dc.relation.conferencename CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning -
dc.relation.conferenceplace Portland, Oregon, USA -
dc.relation.firstpage 115 -
dc.relation.lastpage 124 -
dc.relation.numberofpages 9 -
dc.subject.keywords Dependency Parsing -
dc.subject.keywords Selection of Reliable Parses -
dc.subject.keywords Unsupervised Algorithm -
dc.subject.singlekeyword Dependency Parsing *
dc.subject.singlekeyword Selection of Reliable Parses *
dc.subject.singlekeyword Unsupervised Algorithm *
dc.title ULISSE: an unsupervised algorithm for detecting reliable dependency parses 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 205505 -
iris.orcid.lastModifiedDate 2024/04/04 11:28:43 *
iris.orcid.lastModifiedMillisecond 1712222923647 *
iris.sitodocente.maxattempts 10 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/214925
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