Search for dissertations about: "search"
Showing result 11 - 15 of 2011 swedish dissertations containing the word search.
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11. The Game of Health Search
Abstract : Almost two of three Swedes use internet to search for health related information on diseases, treatments and care givers. Mobile devices such as smartphones and tablets are increasingly used to carry out these activities, and it raises the question on how a health information portal should behave to support the needs of today’s and tomorrow’s information seekers. READ MORE
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12. Supporting Dynamic Decision Making in Naval Search and Evasion Tasks
Abstract : This thesis investigates a decision aid to support tasks where there is an initial sighting of an object and then the decision maker has to guide some vehicles, either to reestablish contact with the lost object or to stay clear of it. As such, the tasks are analogous to naval search and evasion tasks. READ MORE
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13. Contributions to Semantic Dependency Parsing : Search, Learning, and Application
Abstract : Semantic dependency parsing is the task of mapping natural language sentences into representations of their meaning in the form of directed graphs on words. These bilexical graphs are designed to capture the sentence-internal predicate-argument relationships – they tell us “who did what to whom” in the given sentence. READ MORE
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14. Peripheral and Central Mechanisms in Irritable Bowel Syndrome : in search of links
Abstract : Irritable bowel syndrome (IBS) is a chronic visceral pain disorder with female predominance, characterized by recurrent abdominal pain and disturbed bowel habits in the absence of an identifiable organic cause. This prevalent and debilitating disease, which accounts for a substantial economic and individual burden, lacks exact diagnostic tools and effective treatment, since its pathophysiology remains uncertain. READ MORE
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15. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing
Abstract : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). READ MORE