Event detection is a key task in order to access informa- tion through content. This paper focuses on events realized by deverbal nouns in Italian. Deverbal nouns obtained through transpositional suf- fixes (such as -zione; -mento, -tura and -aggio) are commonly known as nouns of action, i.e. nouns which denote the process/action described by the corresponding verbs. However, this class of nouns is also known for a specific polysemous alternation: they may denote the result of the process/action of the corresponding verb. This paper describes a sta- tistically based analysis that helps to develop a classifier for automatic identification of deverbal nouns denoting events in context by exploit- ing rules obtained from syntagmatic and collocational cues identified by linguists.

Recognizing deverbal events in context

Russo Irene;
2012

Abstract

Event detection is a key task in order to access informa- tion through content. This paper focuses on events realized by deverbal nouns in Italian. Deverbal nouns obtained through transpositional suf- fixes (such as -zione; -mento, -tura and -aggio) are commonly known as nouns of action, i.e. nouns which denote the process/action described by the corresponding verbs. However, this class of nouns is also known for a specific polysemous alternation: they may denote the result of the process/action of the corresponding verb. This paper describes a sta- tistically based analysis that helps to develop a classifier for automatic identification of deverbal nouns denoting events in context by exploit- ing rules obtained from syntagmatic and collocational cues identified by linguists.
Campo DC Valore Lingua
dc.authority.ancejournal INTERNATIONAL JOURNAL OF COMPUTATIONAL LINGUISTICS AND APPLICATIONS -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Russo Irene it
dc.authority.people Caselli Tommaso it
dc.authority.people Rubino Francesco it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
dc.collection.name 01.01 Articolo in rivista *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/16 01:41:12 -
dc.date.available 2024/02/16 01:41:12 -
dc.date.issued 2012 -
dc.description.abstracteng Event detection is a key task in order to access informa- tion through content. This paper focuses on events realized by deverbal nouns in Italian. Deverbal nouns obtained through transpositional suf- fixes (such as -zione; -mento, -tura and -aggio) are commonly known as nouns of action, i.e. nouns which denote the process/action described by the corresponding verbs. However, this class of nouns is also known for a specific polysemous alternation: they may denote the result of the process/action of the corresponding verb. This paper describes a sta- tistically based analysis that helps to develop a classifier for automatic identification of deverbal nouns denoting events in context by exploit- ing rules obtained from syntagmatic and collocational cues identified by linguists. -
dc.description.affiliations CNR-ILC, Pisa; -
dc.description.allpeople Russo, Irene; Caselli, Tommaso; Rubino, Francesco -
dc.description.allpeopleoriginal Russo, Irene; Caselli, Tommaso; Rubino, Francesco -
dc.description.fulltext none en
dc.description.note ID_PUMA: /cnr.ilc/2012-A0-018 -
dc.description.numberofauthors 3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/4471 -
dc.identifier.url http://www.gelbukh.com/ijcla/2011-1-2/IJCLA-2011.pdf#page=91 -
dc.language.iso eng -
dc.relation.firstpage 91 -
dc.relation.issue 1-2 -
dc.relation.lastpage 103 -
dc.relation.numberofpages 12 -
dc.relation.volume 2 -
dc.subject.keywords Deverbal nouns; Event detection -
dc.subject.singlekeyword Deverbal nouns *
dc.subject.singlekeyword Event detection *
dc.title Recognizing deverbal events in context en
dc.type.driver info:eu-repo/semantics/article -
dc.type.full 01 Contributo su Rivista::01.01 Articolo in rivista it
dc.type.miur 262 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 218805 -
iris.orcid.lastModifiedDate 2024/04/04 10:40:17 *
iris.orcid.lastModifiedMillisecond 1712220017908 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/4471
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