Search for dissertations about: "Named"
Showing result 1 - 5 of 676 swedish dissertations containing the word Named.
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1. Building Knowledge Graphs : Processing Infrastructure and Named Entity Linking
Abstract : Things such as organizations, persons, or locations are ubiquitous in all texts circulating on the internet, particularly in the news, forum posts, and social media. Today, there is more written material than any single person can read through during a typical lifespan. READ MORE
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2. Bootstrapping Named Entity Annotation by Means of Active Machine Learning
Abstract : This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. READ MORE
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3. Bootstrapping Named Entity Annotation by Means of Active Machine Learning: A Method for Creating Corpora
Abstract : This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. READ MORE
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4. Resource Lenient Approaches to Cross Language Information Retrieval : Using Amharic
Abstract : Information Retrieval (IR) deals with finding and presenting information from a collection of documents/data that are relevant to an information need (a query) expressed by a user. Cross Language Information Retrieval (CLIR) is a subfield of IR where queries are posed in a different language than that of the document collection. READ MORE
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5. 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