dc.contributor.author | Arcan, Mihael | |
dc.contributor.author | Turchi, Marco | |
dc.contributor.author | Buitelaar, Paul | |
dc.date.accessioned | 2019-01-31T14:45:53Z | |
dc.date.available | 2019-01-31T14:45:53Z | |
dc.date.issued | 2015-07-26 | |
dc.identifier.citation | Arcan, Mihael, Turchi, Marco, & Buitelaar, Paul. (2015). Knowledge portability with semantic expansion of ontology labels. Paper presented at the 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015), Beijing, China, 26-31 July | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/14895 | |
dc.description.abstract | Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to
be translated in different languages to enable knowledge access across languages.
Ontology translation is a rather different
task then the classic document translation,
because ontologies contain highly specific
vocabulary and they lack contextual information. For these reasons, to improve
automatic ontology translations, we first
focus on identifying relevant unambiguous and domain-specific sentences from a
large set of generic parallel corpora. Then,
we leverage Linked Open Data resources,
such as DBPedia, to isolate ontologyspecific bilingual lexical knowledge. In
both cases, we take advantage of the semantic information of the labels to select relevant bilingual data with the aim
of building an ontology-specific statistical
machine translation system. We evaluate
our approach on the translation of a medical ontology, translating from English into
German. Our experiment shows a significant improvement of around 3 BLEU
points compared to a generic as well as a
domain-specific translation approach. | en_IE |
dc.description.sponsorship | This publication has emanated from research supported in part by a research grant from Science
Foundation Ireland (SFI) under Grant Number
SFI/12/RC/2289 (Insight) and the European Union
supported projects LIDER (ICT-2013.4.1-610782)
and MixedEmotions (H2020-644632). | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Association for Computational Linguistics | en_IE |
dc.relation.ispartof | Association for Computational Linguistics (ACL-2015) | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Knowledge portability | en_IE |
dc.subject | Semantic expansion | en_IE |
dc.subject | Ontology labels | en_IE |
dc.title | Knowledge portability with semantic expansion of ontology labels | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2019-01-23T17:52:02Z | |
dc.local.publishedsource | http://www.aclweb.org/anthology/P/P15/P15-1069.pdf | en_IE |
dc.description.peer-reviewed | non-peer-reviewed | |
dc.contributor.funder | Science Foundation Ireland | en_IE |
dc.contributor.funder | Horizon 2020 | en_IE |
dc.internal.rssid | 13192032 | |
dc.local.contact | Mihael Arcan. Email: mihael.arcan@insight-centre.org | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en_IE |
dcterms.project | info:eu-repo/grantAgreement/EC/FP7::SP1::ICT/610782/EU/LIDER: Linked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe/LIDER | en_IE |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::IA/644632/EU/Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets/MixedEmotions | en_IE |
nui.item.downloads | 224 | |