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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 66 1 Toward an Integrative Approach for Making Sense Distinctions McCrae, John P.; Fransen, Theodorus; Ahmadi, Sina... In: Front Artif Intell (2022) BASE Show details 2 Utilising knowledge graph embeddings for data-to-text generation Arcan, Mihael; Pasricha, Nivranshu; Buitelaar, Paul. - : Association for Computational Linguistics, 2021 BASE Show details 3 NUIG-DSI’s submission to the GEM Benchmark 2021 Buitelaar, Paul; Arcan, Mihael; Pasricha, Nivranshu. - : Association for Computational Linguistics, 2021 BASE Show details 4 Contextualised sentiment analysis in the financial domain Daudert, Tobias. - : NUI Galway, 2021 BASE Show details 5 Enhancing multiple-choice question answering with causal knowledge Buitelaar, Paul; Dalal, Dhairya; Arcan, Mihael. - : Association for Computational Linguistics, 2021 BASE Show details 6 NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation Pasricha, Nivranshu; Arcan, Mihael; Buitelaar, Paul. - : Association for Computational Linguistics, 2021 BASE Show details 7 Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation ... Omnia Zayed; McCrae, John P.; Buitelaar, Paul. - : Zenodo, 2020 BASE Show details 8 Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation ... Omnia Zayed; McCrae, John P.; Buitelaar, Paul. - : Zenodo, 2020 BASE Show details 9 The ESSOT system goes wild: an easy way for translating ontologies Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul. - : CEUR-WS.org, 2019 BASE Show details 10 OTTO - ontology translation system Arcan, Mihael; Asooja, Kartik; Ziad, Housam. - : CEUR-WS.org, 2019 BASE Show details 11 Experiments with term translation Arcan, Mihael; Buitelaar, Paul; Federmann, Christian. - : Association for Computational Linguistics, 2019 BASE Show details 12 Ontology label translation Buitelaar, Paul; Arcan, Mihael. - : Association for Computational Linguistics, 2019 BASE Show details 13 Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources Vulcu, Gabriela; Buitelaar, Paul; Pereira, Bianca. - : European Language Resources Association, 2019 BASE Show details 14 Automatic enrichment of terminological resources: the IATE RDF example McCrae, John P.; Montiel-Ponsoda, Elena; Buitelaar, Paul. - : European Language Resources Association, 2019 BASE Show details 15 Linguistic linked data for sentiment analysis Arcan, Mihael; Sánchez-Rada, Juan Fernando; Strapparava, Carlo. - : Association for Computational Linguistics, 2019 BASE Show details 16 ESSOT: an expert supporting system for ontology translation Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul. - : Springer Verlag, 2019 Abstract: To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to disambiguate an ontology label with respect to the domain modelled by the ontology itself; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. Real-world applications have to implement a support system addressing this task to help experts in validating automatically generated translations. In this paper, we present ESSOT, an Expert Supporting System for Ontology Translation. The peculiarity of this system is to exploit the semantic information of the label’s context to improve the quality of label translations. The system has been tested within the Organic.Lingua project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach. ; This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and the European Unions Horizon 2020 programme MixedEmotions (Grant Number 644632). ; non-peer-reviewed Keyword: Machine Translation; Parallel Corpus; Statistical Machine Translation; Translation Service URL: http://hdl.handle.net/10379/14884 https://doi.org/10.1007/978-3-319-41754-7_6 BASE Hide details 17 Translating the FINREP taxonomy using a domain-specific corpus Arcan, Mihael; Thomas, Susan Marie; De Brandt, Derek. - : IAMT and EAMT, 2019 BASE Show details 18 Using domain-specific and collaborative resources for term translation Arcan, Mihael; Federmann, Christian; Buitelaar, Paul. - : Association for Computational Linguistics, 2019 BASE Show details 19 Identification of bilingual terms from monolingual documents for statistical machine translation Turchi, Marco; Buitelaar, Paul; Giuliano, Claudio. - : Association for Computational Linguistics, 2019 BASE Show details 20 IRIS: English-Irish machine translation system Buitelaar, Paul; Ó Droighneáin, Eoin; Lane, Caoilfhionn. - : European Language Resources Association, 2019 BASE Show details Page: 1 2 3 4

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