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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 Hits 1 – 13 of 13 1 Workshop on Deep Learning and Neural Approaches for Linguistic Data - Book of abstracts ... Gromann, Dagmar; Wachowiak, Lennart; Lang, Christian. - : Zenodo, 2021 BASE Show details 2 Workshop on Deep Learning and Neural Approaches for Linguistic Data - Book of abstracts ... Gromann, Dagmar; Wachowiak, Lennart; Lang, Christian. - : Zenodo, 2021 BASE Show details 3 Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across Domains ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Gromann, Dagmar; Heinisch, Barbara. - : Underline Science Inc., 2021 BASE Show details 4 Towards Learning Terminological Concept Systems from Multilingual Natural Language Text ... Wachowiak, Lennart; Lang, Christian; Heinisch, Barbara. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 5 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie... In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020) BASE Show details 6 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : arXiv, 2020 BASE Show details 7 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : Zenodo, 2020 BASE Show details 8 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : Zenodo, 2020 BASE Show details 9 Towards the Detection and Formal Representation of Semantic Shifts in Inflectional Morphology Gromann, Dagmar; Declerck, Thierry. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 BASE Show details 10 Towards the Detection and Formal Representation of Semantic Shifts in Inflectional Morphology ... Gromann, Dagmar; Declerck, Thierry. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2019 BASE Show details 11 Where do Business Students Turn for Help? An Empirical Study on Dictionary Use in Foreign-language Learning Gromann, Dagmar; Schnitzer, Johannes In: International Journal of Lexicography 29 (2016) 1, 55-99 IDS OBELEX meta Show details 12 Breaking Down Finance: A Method for Concept Simplification by Identifying Movement Structures from the Image Schema PATH-following Hedblom, Maria M.; Gromann, Dagmar. - : CEUR Workshop Proceedings, 2016 Abstract: Image schemas provide preverbal conceptual structures and are suggested to be the conceptual building blocks from which cognitive phenomena such as language and reasoning are constructed. 'Motion along a path' is one of the first image schemas infants remember, making PATH-following one of the earliest cog-nitive building blocks. We are interested in the importance of this developmentally relevant image schema in abstract adult language. For this purpose, we propose a semi-automated method to extract image-schematic structures related to PATH-following from a multilingual financial terminology. Two major assumptions are that a linguistic mapping of image schemas facilitates the understanding of complex concepts and is persistent across languages. Our results show that complex textual representations can be made simpler to understand by extracting the underlying image schemas and that they are persistent across languages. Another result includes the identification of novel specifications of predefined image-schematic structures. Published on CEUR-WS. Copyright © 2016 for the individual papers by the papers' authors. ; The project COINVENT acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open Grant number: 611553. The IIIA part of this work has been funded by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 567652/ESSENCE: Evolution of Shared Semantics in Computational Environments. ; Peer Reviewed Keyword: Finance; Image schemas; Information extraction; Lexico-syntactic patterns; Ontologies; Terminological database URL: https://doi.org/10.13039/501100003339 http://hdl.handle.net/10261/155804 https://doi.org/10.13039/501100000780 BASE Hide details 13 A Model and Method to Terminologize Existing Domain Ontologies Gromann, Dagmar In: Terminology and Knowledge Engineering, TKE 2014 ; Terminology and Knowledge Engineering 2014 ; https://hal.archives-ouvertes.fr/hal-01005867 ; Terminology and Knowledge Engineering 2014, Jun 2014, Berlin, Germany. 10 p (2014) BASE Show details

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