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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 5...10 Hits 1 – 20 of 193 1 Text+: Language- and text-based Research Data Infrastructure ... Hinrichs, Erhard; Leinen, Peter; Geyken, Alexander. - : Zenodo, 2022 BASE Show details 2 Text+: Language- and text-based Research Data Infrastructure ... Hinrichs, Erhard; Leinen, Peter; Geyken, Alexander. - : Zenodo, 2022 BASE Show details 3 Text+: Language- and text-based Research Data Infrastructure ... Hinrichs, Erhard; Leinen, Peter; Geyken, Alexander. - : Zenodo, 2022 BASE Show details 4 Multilinguale Sprachressourcen für die linguistische Forschung Hinrichs, Erhard (VerfasserIn) IDS Mannheim 5 Rover und TüNDRA: Such- und Visualisierungsplattformen für Wortnetze und Baumbanken Fischer, Patricia (VerfasserIn); Hinrichs, Erhard (VerfasserIn) IDS Mannheim 6 Text+: Sprach- und textbasierte Forschungsdateninfrastruktur Hinrichs, Erhard Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 7 Komponenten-basierte Metadatenschemata und Facetten-basierte Suche ... Barkey Reinhild; Hinrichs Erhard; Hoppermann Christina. - : Zenodo, 2020 BASE Show details 8 Komponenten-basierte Metadatenschemata und Facetten-basierte Suche ... Barkey Reinhild; Hinrichs Erhard; Hoppermann Christina. - : Zenodo, 2020 BASE Show details 9 All that glitters is not gold : a gold standard of adjective-noun collocations for German Hinrichs, Erhard; Strakatova, Yana; Falk, Neele. - 2020 BASE Show details 10 Language technology for digital humanities: introduction to the special issue [<Journal>] Hinrichs, Erhard [Verfasser]; Hinrichs, Marie [Verfasser]; Kübler, Sandra [Verfasser]. DNB Subject Category Language Show details 11 No Word is an Island -- A Transformation Weighting Model for Semantic Composition ... Dima, Corina; de Kok, Daniël; Witte, Neele. - : arXiv, 2019 BASE Show details 12 Composition Models for the Representation and Semantic Interpretation of Nominal Compounds Dima, Gina-Corina. - : Universität Tübingen, 2019 Abstract: The central topic of this thesis are composition models of distributional semantics and their application for representing the semantics of German and English nominal compounds. Composition models are mathematical transformations that, given a compound like Apfelbaum ‘apple tree’, can be applied to the vector representations of Apfel ‘apple’ and Baum ‘tree’ to obtain a vector representation for the compound Apfelbaum ‘apple tree’. The new composed representation is deemed appropriate if it is similar to the representation of Apfelbaum that can be directly learned from large corpora using distributional methods. The thesis is structured into eight chapters. The first four chapters introduce compounds from a linguistic perspective (Chapter 1), present a review of annotation schemes for nominal compounds and introduce a new hybrid annotation scheme (Chapter 2), introduce neural networks and how to represent words via numerical features (Chapter 3) and detail the distributional representation of words (Chapter 4). Existing composition models of distributional semantics are reviewed and evaluated in Chapter 5. Chapter 5 also introduces three new composition models: addmask, wmask and multimatrix, that aim to improve over existing composition models either though a more efficient parametrization (*mask) or by promoting parameter reuse across different, but semantically similar words (multimatrix). The results show that composition models are able to construct meaningful composed representations for 81.8% of the German test compounds, and 78.03% of the English test compounds. In Chapter 6 composed representations are shown to be a useful indicator when investigating non-compositional (lexicalized) compounds. For example, when modeling a compound like Tigerauge, ‘tiger eye’, composition models will produce a composed representation that corresponds to the literal interpretation of the compound - the eye of a tiger. This vector, however, is dissimilar to the distributional vector learned directly from the corpus which captures the lexicalized meaning of semi-precious stone. In Chapter 7 composed representations prove to be the best features for classifying compounds in terms of their semantic relations in setups where simplex words and compounds have representations of the same length. Further analyses show also that some of the modifier information is discarded during the composition process and that extrinsic evaluations tasks such as the semantic classification task are necessary for assessing and improving the quality of the composed representations. Chapter 8 concludes by emphasizing the main contributions of the thesis and sketching directions for future contributions. Keyword: 004; 400; 420; 430; Composition Models; Computational Linguistics; Computerlinguistik; Distributional Semantics; Kompositum; Machine Learning; Maschinelles Lernen; Neural Networks; Nominal Compounds; Semantic Relations; Semantik; Word Representations URL: http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-870984 http://hdl.handle.net/10900/87098 https://doi.org/10.15496/publikation-28485 BASE Hide details 13 Semantic modelling of adjective-noun collocations using FrameNet Strakatova, Yana; Hinrichs, Erhard. - 2019 BASE Show details 14 No Word is an Island—A Transformation Weighting Model for Semantic Composition Dima, Corina; de Kok, Daniël; Witte, Neele... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 437-451 (2019) (2019) BASE Show details 15 Language Resources, Taxonomies and Metadata Witt, Andreas [Verfasser]; Lemnitzer, Lothar [Verfasser]; Hinrichs, Erhard [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018 DNB Subject Category Language Show details 16 Interrelating Treebanks with Language-Specific Descriptions of Information Structure Kübler, Sandra [Herausgeber]; Hinrichs, Erhard [Herausgeber]; Wunsch, Holger [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018 DNB Subject Category Language Show details 17 Digitale Forschungsinfrastrukturen für die Sprachwissenschaften Hinrichs, Erhard. - 2018 BASE Show details 18 Connecting resources: Which issues have to be solved to integrate CMC corpora from heterogeneous sources and for different languages? Beißwenger, Michael [Verfasser]; Wigham, Ciara [Verfasser]; Etienne, Carole [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details 19 Korpusunterstützte Entwicklung lexikalischer Wissensbasen Storrer, Angelika [Verfasser]; Feldweg, Helmut [Verfasser]; Hinrichs, Erhard [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017 DNB Subject Category Language Show details 20 Probleme und Lösungen beim Parsen von Wörterbüchern Feldweg, Helmut [Herausgeber]; Storrer, Angelika [Verfasser]; Hinrichs, Erhard [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017 DNB Subject Category Language Show details Page: 1 2 3 4 5...10

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