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Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
Erdem, Erkut; Kuyu, Menekse; Yagcioglu, Semih. - : AI Access Foundation, 2022
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HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case ...
Abstract: The paper proposes an interdisciplinary approach including methods from disciplines such as history of concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative framework for detecting semantic change in multilingual historical corpora and generating diachronic ontologies as linguistic linked open data (LLOD). Initiated as a use case (UC4.2.1) within the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, the study will explore emerging trends in knowledge extraction, analysis and representation from linguistic data science, and apply the devised methodology to datasets in the humanities to trace the evolution of concepts from the domain of socio-cultural transformation. The paper will describe the main elements of the methodological framework and preliminary planning of the intended workflow. ... : OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 34:1-34:13 ...
Keyword: Computing methodologies → Information extraction; Computing methodologies → Language resources; Computing methodologies → Lexical semantics; Computing methodologies → Ontology engineering; Computing methodologies → Semantic networks; Computing methodologies → Temporal reasoning; diachronic ontologies; digital humanities; linguistic linked open data; natural language processing; semantic change
URL: https://dx.doi.org/10.4230/oasics.ldk.2021.34
https://drops.dagstuhl.de/opus/volltexte/2021/14570/
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