This paper describes the first prototype for building TimeML xml documents starting from raw text for Italian. First, the text is parsed with the TULE parser, a dependency parser developed at the University of Turin. The parsed text is then used as input to the TimeML rule-based module we have implemented, henceforth called as 'The converter'. So far, the converter identifies and classifies events in the sentence. The results are rather satisfatory, and this leads us to support the use of dependency syntactic relations for the development of higher level semantic tools.
From Italian Text to TimeML Document via Dependency Parsing
Irene Russo;
2011
Abstract
This paper describes the first prototype for building TimeML xml documents starting from raw text for Italian. First, the text is parsed with the TULE parser, a dependency parser developed at the University of Turin. The parsed text is then used as input to the TimeML rule-based module we have implemented, henceforth called as 'The converter'. So far, the converter identifies and classifies events in the sentence. The results are rather satisfatory, and this leads us to support the use of dependency syntactic relations for the development of higher level semantic tools.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Livio Robaldo | it |
| dc.authority.people | Tommaso Caselli | it |
| dc.authority.people | Irene Russo | it |
| dc.authority.people | Matteo Grella | it |
| dc.collection.id.s | 8c50ea44-be95-498f-946e-7bb5bd666b7c | * |
| dc.collection.name | 02.01 Contributo in volume (Capitolo o Saggio) | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/21 05:53:39 | - |
| dc.date.available | 2024/02/21 05:53:39 | - |
| dc.date.issued | 2011 | - |
| dc.description.abstracteng | This paper describes the first prototype for building TimeML xml documents starting from raw text for Italian. First, the text is parsed with the TULE parser, a dependency parser developed at the University of Turin. The parsed text is then used as input to the TimeML rule-based module we have implemented, henceforth called as 'The converter'. So far, the converter identifies and classifies events in the sentence. The results are rather satisfatory, and this leads us to support the use of dependency syntactic relations for the development of higher level semantic tools. | - |
| dc.description.affiliations | Università di Torino, CNR-ILC, PARSIT Srl | - |
| dc.description.allpeople | Robaldo, Livio; Caselli, Tommaso; Russo, Irene; Grella, Matteo | - |
| dc.description.allpeopleoriginal | Livio Robaldo, Tommaso Caselli, Irene Russo, Matteo Grella | - |
| dc.description.fulltext | none | en |
| dc.description.note | ID_PUMA: cnr.ilc/2011-A2-019 | - |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.isbn | 978-3-642-19436-8 | - |
| dc.identifier.isi | WOS:000302000800014 | - |
| dc.identifier.scopus | 2-s2.0-79952270159 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/217953 | - |
| dc.language.iso | eng | - |
| dc.publisher.country | DEU | - |
| dc.publisher.name | Springer-Verlag | - |
| dc.publisher.place | Berlin/Heidelberg | - |
| dc.relation.alleditors | Alexander Gelbukh | - |
| dc.relation.firstpage | 177 | - |
| dc.relation.lastpage | 187 | - |
| dc.relation.numberofpages | 11 | - |
| dc.subject.keywords | Parsing | - |
| dc.subject.keywords | TimeML | - |
| dc.subject.singlekeyword | Parsing | * |
| dc.subject.singlekeyword | TimeML | * |
| dc.title | From Italian Text to TimeML Document via Dependency Parsing | en |
| dc.type.driver | info:eu-repo/semantics/bookPart | - |
| dc.type.full | 02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio) | it |
| dc.type.miur | 268 | - |
| dc.ugov.descaux1 | 205729 | - |
| iris.isi.metadataErrorDescription | 0 | - |
| iris.isi.metadataErrorType | ERROR_NO_MATCH | - |
| iris.isi.metadataStatus | ERROR | - |
| iris.orcid.lastModifiedDate | 2024/04/04 17:57:08 | * |
| iris.orcid.lastModifiedMillisecond | 1712246228355 | * |
| iris.scopus.extIssued | 2011 | - |
| iris.scopus.extTitle | From Italian text to TimeML document via dependency parsing | - |
| iris.sitodocente.maxattempts | 3 | - |
| scopus.authority.anceserie | LECTURE NOTES IN COMPUTER SCIENCE###0302-9743 | * |
| scopus.category | 2614 | * |
| scopus.category | 1700 | * |
| scopus.contributor.affiliation | University of Turin | - |
| scopus.contributor.affiliation | CNR | - |
| scopus.contributor.affiliation | CNR | - |
| scopus.contributor.affiliation | Parsit s.r.l. | - |
| scopus.contributor.afid | 60012259 | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.afid | - | |
| scopus.contributor.auid | 15045771000 | - |
| scopus.contributor.auid | 35932126700 | - |
| scopus.contributor.auid | 37007890000 | - |
| scopus.contributor.auid | 37007410700 | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.dptid | 100292619 | - |
| scopus.contributor.dptid | - | |
| scopus.contributor.dptid | - | |
| scopus.contributor.dptid | - | |
| scopus.contributor.name | Livio | - |
| scopus.contributor.name | Tommaso | - |
| scopus.contributor.name | Irene | - |
| scopus.contributor.name | Matteo | - |
| scopus.contributor.subaffiliation | Department of Computer Science; | - |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale; | - |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale; | - |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.surname | Robaldo | - |
| scopus.contributor.surname | Caselli | - |
| scopus.contributor.surname | Russo | - |
| scopus.contributor.surname | Grella | - |
| scopus.date.issued | 2011 | * |
| scopus.description.abstracteng | This paper describes the first prototype for building TimeML xml documents starting from raw text for Italian. First, the text is parsed with the TULE parser, a dependency parser developed at the University of Turin. The parsed text is then used as input to the TimeML rule-based module we have implemented, henceforth called as 'The converter'. So far, the converter identifies and classifies events in the sentence. The results are rather satisfatory, and this leads us to support the use of dependency syntactic relations for the development of higher level semantic tools. © 2011 Springer-Verlag. | * |
| scopus.description.allpeopleoriginal | Robaldo L.; Caselli T.; Russo I.; Grella M. | * |
| scopus.differences | scopus.authority.anceserie | * |
| scopus.differences | scopus.description.allpeopleoriginal | * |
| scopus.differences | scopus.description.abstracteng | * |
| scopus.differences | scopus.identifier.isbn | * |
| scopus.differences | scopus.identifier.doi | * |
| scopus.differences | scopus.relation.volume | * |
| scopus.document.type | cp | * |
| scopus.document.types | cp | * |
| scopus.identifier.doi | 10.1007/978-3-642-19437-5_14 | * |
| scopus.identifier.eissn | 1611-3349 | * |
| scopus.identifier.isbn | 9783642194368 | * |
| scopus.identifier.pui | 361371243 | * |
| scopus.identifier.scopus | 2-s2.0-79952270159 | * |
| scopus.journal.sourceid | 25674 | * |
| scopus.language.iso | eng | * |
| scopus.relation.conferencedate | 2011 | * |
| scopus.relation.conferencename | 12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011 | * |
| scopus.relation.conferenceplace | Tokyo, jpn | * |
| scopus.relation.firstpage | 177 | * |
| scopus.relation.issue | 2 | * |
| scopus.relation.lastpage | 187 | * |
| scopus.relation.volume | 6609 | * |
| scopus.title | From Italian text to TimeML document via dependency parsing | * |
| scopus.titleeng | From Italian text to TimeML document via dependency parsing | * |
| Appare nelle tipologie: | 02.01 Contributo in volume (Capitolo o Saggio) | |
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