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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 Abstract: Semantic shifts caused by derivational morphemes is a common subject of investigation in language modeling, while inflectional morphemes are frequently portrayed as semantically more stable. This study is motivated by the previously established observation that inflectional morphemes can be just as variable as derivational ones. For instance, the English plural "-s" can turn the fabric silk into the garments of a jockey, silks. While humans know that silk in this sense has no plural, it takes more for machines to arrive at this conclusion. Frequently utilized computational language resources, such as WordNet, or models for representing computational lexicons, like OntoLex-Lemon, have no descriptive mechanism to represent such inflectional semantic shifts. To investigate this phenomenon, we extract word pairs of different grammatical number from WordNet that feature additional senses in the plural and evaluate their distribution in vector space, i.e., pre-trained word2vec and fastText embeddings. We then propose an extension of OntoLex-Lemon to accommodate this phenomenon that we call inflectional morpho-semantic variation to provide a formal representation accessible to algorithms, neural networks, and agents. While the exact scope of the problem is yet to be determined, this first dataset shows that it is not negligible. Keyword: Data processing Computer science; embeddings; formal lexical modeling; Inflectional morphology; semantic shift URN: urn:nbn:de:0030-drops-103856 URL: https://drops.dagstuhl.de/opus/volltexte/2019/10385/ https://doi.org/10.4230/OASIcs.LDK.2019.21 BASE Hide 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 BASE Show 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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