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1
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 ...
Keyword:
004
;
400
;
420
;
430
;
Composition Models
;
Computational Linguistics
;
Computerlinguistik , Maschinelles Lernen , Kompositum , Semantik
;
Distributional Semantics
;
Machine Learning
;
Neural Networks
;
Nominal Compounds
;
Semantic Relations
;
Word Representations
URL:
https://dx.doi.org/10.15496/publikation-28485
https://publikationen.uni-tuebingen.de/xmlui/handle/10900/87098
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Composition Models for the Representation and Semantic Interpretation of Nominal Compounds
Dima, Gina-Corina
. - : Universität Tübingen, 2019
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