dc.contributor.author |
Ballesteros, Miguel |
dc.contributor.author |
Bohnet, Bernd |
dc.contributor.author |
Mille, Simon |
dc.contributor.author |
Wanner, Leo |
dc.date.accessioned |
2017-01-20T18:20:20Z |
dc.date.available |
2017-01-20T18:20:20Z |
dc.date.issued |
2016 |
dc.identifier.citation |
Ballesteros M, Bohnet B, Mille S, Wanner L. Data-driven deep-syntactic dependency parsing. Nat Lang Eng. 2016 Nov;22(6):939-74. DOI: 10.1017/S1351324915000285 |
dc.identifier.issn |
1351-3249 |
dc.identifier.uri |
http://hdl.handle.net/10230/27951 |
dc.description.abstract |
‘Deep-syntactic’ dependency structures that capture the argumentative, attributive and co-/nordinative relations between full words of a sentence have a great potential for a number/nof NLP-applications. The abstraction degree of these structures is in between the output/nof a syntactic dependency parser (connected trees defined over all words of a sentence and/nlanguage-specific grammatical functions) and the output of a semantic parser (forests of trees/ndefined over individual lexemes or phrasal chunks and abstract semantic role labels which/ncapture the frame structures of predicative elements and drop all attributive and coordinative/ndependencies). We propose a parser that provides deep-syntactic structures. The parser has/nbeen tested on Spanish, English and Chinese |
dc.description.sponsorship |
The work reported on in this paper has been partially funded by the European Commission under the contract numbers FP7-ICT-610411 (MULTISENSOR) and H2020-645012-RIA (KRISTINA). |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Cambridge University Press |
dc.relation.ispartof |
Natural Language Engineering. 2016 Nov;22(6):939-74. |
dc.rights |
© Cambridge University Press. The published version of the article: Ballesteros M, Bohnet B, Mille S, Wanner L. Data-driven deep-syntactic dependency parsing. Nat Lang Eng. 2016 Nov;22(6):939-74. http://dx.doi.org/10.1017/S1351324915000285 |
dc.subject.other |
Processament del llenguatge natural |
dc.subject.other |
Tractament del llenguatge natural (Informàtica) |
dc.subject.other |
Lingüística computacional |
dc.title |
Data-driven deep-syntactic dependency parsing |
dc.type |
info:eu-repo/semantics/article |
dc.identifier.doi |
http://dx.doi.org/10.1017/S1351324915000285 |
dc.relation.projectID |
info:eu-repo/grantAgreement/EC/FP7/610411 |
dc.relation.projectID |
info:eu-repo/grantAgreement/EC/H2020/645012 |
dc.rights.accessRights |
info:eu-repo/semantics/embargoedAccess |
dc.type.version |
info:eu-repo/semantics/acceptedVersion |