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Sentence syntax trees should be made from morphemes. Semantically ordered trees
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Corpus-supported academic writing : how can technology help? ...
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Word Sense Disambiguation with GermaNet ... : Disambiguierung von Wortbedeutungen mit GermaNet ...
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Emotional Facial Expressions in Synthesised Sign Language Avatars: a Manual Evaluation.
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In: Other Resources (2015)
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Providing Objective Metrics of Team Communication Skills via Interpersonal coordination Mechanisms
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In: Conference Papers (2015)
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A Study on the Efficacy of Sentiment Analysis in Author Attribution
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In: Electronic Theses and Dissertations (2015)
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BJUT at TREC 2015 Microblog Track: Real Time Filtering Using Knowledge Base
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Discourse Expectations: Theoretical, Experimental, and Computational Perspectives
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Discourse Expectations: theoretical, experimental, and computational perspectives
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In: Daskalaki, Evangelia (2015)
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A Machine-Aided Approach to Generating Grammar Rules from Japanese Source Text for Use in Hybrid and Rule-based Machine Translation Systems
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In: Theses and Dissertations (2015)
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RST-style Discourse Parsing and Its Applications in Discourse Analysis
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Word Sense Disambiguation with GermaNet ; Disambiguierung von Wortbedeutungen mit GermaNet
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Abstract:
The subject of this dissertation is boosting research on word sense disambiguation (WSD) for German. WSD is a very active area of research in computational linguistics, but most of the work is focused on English. One of the factors that has hampered WSD research for other languages such as German is the lack of appropriate resources, particularly in the form of sense-annotated corpus data. Hence, this work inevitably has to start with the preparation of resources before actual WSD experiments can be performed. The work program is fourfold. Firstly, since sense definitions are necessary to distinguish word senses (both for humans and for automatic WSD algorithms), the German wordnet GermaNet is (semi-)automatically extended with sense descriptions. This is done by automatically mapping GermaNet senses to descriptions in the online dictionary Wiktionary. Secondly, since the availability of sense-annotated corpora is a prerequisite for evaluating and developing word sense disambiguation systems, two GermaNet sense-annotated corpora are constructed. One corpus is automatically constructed and the other corpus is manually sense-annotated. Thirdly, several knowledge-based WSD algorithms are applied and evaluated -- using the newly created sense-annotated corpora. These algorithms are based on a suite of semantic relatedness measures, including path-based, information-content-based, and gloss-based methods. Experiments on gloss-based methods also employ the newly harvested definitions from Wiktionary. Fourthly, several supervised machine learning classifiers are applied to the task of German WSD, including rule-based methods, instance-based methods, probabilistic methods, and support vector machines. The classifiers rely on a wide range of machine learning features and their evaluation focuses on several aspects, including a comparison of several algorithms, a detailed analysis of the implemented features, and an investigation of the influence of syntax and semantics on the disambiguation performance for verbs.
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Keyword:
400; Bedeutung; Bedeutungsdisambiguierung; Computational Linguistics; Computerlinguistik; deutsches Wortnetz; Disambiguierung; German wordnet; GermaNet; lesartenannotierte Korpora; sense-annotated corpora; Wiktionary; Word Sense Disambiguation
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URL: http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-632846 http://hdl.handle.net/10900/63284 https://doi.org/10.15496/publikation-4706
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Towards News Verification: Deception Detection Methods for News Discourse
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In: Victoria Rubin (2015)
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Traitement informatique de variations terminologiques malgaches. Cas du domaine de l'environnement
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In: Western Papers in Linguistics / Cahiers linguistiques de Western (2015)
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