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Showing result 1 - 5 of 10 swedish dissertations matching the above criteria.
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1. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare
Abstract : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. READ MORE
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2. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records
Abstract : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. READ MORE
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3. Temporal and co-varying clause combining in Austronesian languages : Semantics, morpho-syntax and distributional patterns
Abstract : This study investigates combined clause constructions for ten distinct semantic relations in a cross-section of Austronesian languages. The relations are of a temporal or co-varying nature, the former commonly expressed in English by such markers as when, then, until, etc. and the latter by if, so, because, etc. READ MORE
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4. Extracting Clinical Findings from Swedish Health Record Text
Abstract : Information contained in the free text of health records is useful for the immediate care of patients as well as for medical knowledge creation. Advances in clinical language processing have made it possible to automatically extract this information, but most research has, until recently, been conducted on clinical text written in English. READ MORE
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5. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process
Abstract : An ontology is a knowledge-representation structure, where words, terms or concepts are defined by their mutual hierarchical relations. Ontologies are becoming ever more prevalent in the world of natural language processing, where we currently see a tendency towards using semantics for solving a variety of tasks, particularly tasks related to information access. READ MORE