Search for dissertations about: "named entity recognition"

Showing result 1 - 5 of 9 swedish dissertations containing the words named entity recognition.

  2. 1. Bootstrapping Named Entity Annotation by Means of Active Machine Learning

    Author : Fredrik Olsson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; corpus creation; data annotation; active learning; named entity recognition; machine learning; computational linguistics; natural language processing; information refinement;

    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

  4. 2. Bootstrapping Named Entity Annotation by Means of Active Machine Learning: A Method for Creating Corpora

    Author : Fredrik Olsson; RISE; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; corpus creation; data annotation; active learning; named entity recognition; machine learning; computational linguistics; nlp;

    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

  5. 3. Extracting Clinical Findings from Swedish Health Record Text

    Author : Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Maria Kvist; Tapio Salakoski; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Named entity recognition; Corpora development; Clinical text processing; Distributional semantics; Random indexing; Vocabulary expansion; Assertion classification; Clinical text mining; Electronic health records; Swedish; Computer and Systems Sciences; data- och systemvetenskap;

    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

  6. 4. From Disorder to Order : Extracting clinical findings from unstructured text

    Author : Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Beáta Megyesi; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Text mining; named entity recognition; clinical language processing; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Medical disorders and findings are examples of important information in health record text. Through developing methods for automatically extracting these entities from the health record text, the possibility of making use of the information by automatic computerised processes increases. READ MORE

  7. 5. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE