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Data from 'Exploiting cross-dialectal gold syntax for low-resource historical languages: towards a generic parser for pre-modern Slavic' ...
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Interdisciplinary connections through transmedia narratives in art education ; Interdisciplinarne povezave s transmedijskimi pripovedmi pri umetniski vzgoji in izobrazevanju
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In: CEPS Journal 10 (2020) 4, S. 55-74 (2020)
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Dialoogiaktid ja argumendid Riigikogu stenogrammides: pilootuuring
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 16, Pp 95-108 (2020) (2020)
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Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions
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The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence (Dagstuhl Perspectives Workshop 19072)
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Analyzing Systemic Racial Disparities With Statistical Learning Models and HMIS Data ...
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Analyzing Systemic Racial Disparities With Statistical Learning Models and HMIS Data ...
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Terminology and Knowledge Representation: Ceramic Artefacts of al-Andalus
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IMIA LaMB WG publications: Medical Concept Representation ‐ the Years Beyond 2000 ...
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IMIA LaMB WG publications: Medical Concept Representation ‐ the Years Beyond 2000 ...
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ATTENTION TO SHARED PERCEPTUAL FEATURES INFLUENCES EARLY NOUN-CONCEPT PROCESSING ...
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A review of previous biological models of sameness detection, related to simple, biologically plausible feature detector for language acquisition ...
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ATTENTION TO SHARED PERCEPTUAL FEATURES INFLUENCES EARLY NOUN-CONCEPT PROCESSING ...
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A review of previous biological models of sameness detection, related to simple, biologically plausible feature detector for language acquisition ...
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Inscriptions, Hieroglyphs, Linguistics… and Beyond! The Corpus of Classic Mayan as an Ontological Information Resource ...
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Inscriptions, Hieroglyphs, Linguistics… and Beyond! The Corpus of Classic Mayan as an Ontological Information Resource ...
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SolveWords: An Algorithm for Automatically Solving Mathematical Word Problems with Machine Learning ...
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SolveWords: An Algorithm for Automatically Solving Mathematical Word Problems with Machine Learning ...
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Do you speak wine tourism?
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Abstract:
The latest forecasts for the Portuguese tourist industry show that it will represent 16% of the Portuguese GNP very soon and, for 2017, the State Statistical Office registered over 3.5 million guests visiting the North of Portugal and around 7.4 million overnight stays in the region’s tourist accommodation, which makes it safe to say that investing in projects that foster a common language in business communication will not only result in tangible financial gains but also in improved multi-cultural and multilingual understanding. Companies need, thus, to communicate seamlessly in a fully internationalised and digital world challenges companies to meet the need to systematise and harmonise language to properly convey meaning, thus promoting successful business undertakings. Such a need, a direct consequence of the phenomenon of globalisation and internationalisation of scientific and technological knowledge, becomes clear in a region with all the necessary elements to anchor sustainable growth, namely the four locations classified as UNESCO’s World Heritage sites (Porto’s historic center, Alto Douro wine region, Côa Valley Archeological Park and Guimarães Historic Center). “WiTo - Do you speak wine tourism?” is a project, supported by a PhD thesis, that aims at creating an electronic multilingual thesaurus the wine tourism experts will consider a useful tool for communicating with different publics (experts and non-experts). Thus, we will have to determine which subjects and technical know-how are considered core, complementary and cross-sectional to wine tourism, leading to the conceptual representation of wine tourism specialised language (which, in turn, will allow for structuring and harmonization of the linguistic heritage clearly visible in the area’s terminology). This project aims at providing the necessary basis for optimising knowledge transfer (thus promoting a faster flow of technical and scientific information) and its implementation in tourism information systems and electronic support platforms. This article aims at giving an overview of the current research in this area and presenting WiTo by highlighting some of its preliminary results and discussing some of the open questions. ; info:eu-repo/semantics/publishedVersion
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Keyword:
Expert communication; Knowledge representation; Specialised languages; Wine tourism
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URL: http://hdl.handle.net/10400.22/17956
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A MACHINE LEARNING BASED WEB SERVICE FOR MALICIOUS URL DETECTION IN A BROWSER ...
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