Search for dissertations about: "word embedding"
Showing result 1 - 5 of 6 swedish dissertations containing the words word embedding.
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1. Principal Word Vectors
Abstract : Word embedding is a technique for associating the words of a language with real-valued vectors, enabling us to use algebraic methods to reason about their semantic and grammatical properties. This thesis introduces a word embedding method called principal word embedding, which makes use of principal component analysis (PCA) to train a set of word embeddings for words of a language. READ MORE
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2. Splitting rocks: Learning word sense representations from corpora and lexica
Abstract : The representation of written language semantics is a central problem of language technology and a crucial component of many natural language processing applications, from part-of-speech tagging to text summarization. These representations of linguistic units, such as words or sentences, allow computer applications that work with language to process and manipulate the meaning of text. READ MORE
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3. Quantifying Meaning
Abstract : Distributionella semantikmodeller är en klass av maskininlärningsmodeller med syfte att konstruera representationer som fångar semantik, i.e. mening, av objekt som bär mening på ett datadrivet sätt. READ MORE
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4. The neurophysiology of grammatical constraints : ERP studies on the influence of prosody and pragmatics on the processing of syntax and morphology in Swedish
Abstract : This dissertation investigates the interaction of information from word order, morphology, lexical semantics, and prosody in the on-line processing of Swedish sentences using Event-Related Potentials. Study I examines how the form, meaning, and syntactic position of objects influence their interpretation in ‘Object Shift’ contexts. READ MORE
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5. Text Representations and Explainability for Political Science Applications
Abstract : This work explores the utility of natural language processing approaches for the study of political behavior by examining two main aspects - representation and explainability. We investigate how current representation approaches capture politically relevant signals in a proportional representation system. READ MORE