Sökning: "Data entity"

Visar resultat 6 - 10 av 126 avhandlingar innehållade orden Data entity.

1. 6. Resource Lenient Approaches to Cross Language Information Retrieval : Using Amharic

   Författare :Atelach Alemu Argaw; Lars Asker; Jussi Karlgren; Douglas Oard; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cross language information retrieval; Amharic; stemming; MRD based query translation; transliteration; named entity detection; translation term selection; sense discrimination; POS tagging; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : 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. LÄS MER

3. 7. Representation learning for natural language

   Författare :Olof Mogren; RISE; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER

4. 8. Mining Clinical Text in Cancer Care

   Författare :Rebecka Weegar; Dalianis Hercules; Søren Brunak; Lilja Øvrelid; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; text mining; natural language processing; electronic health records; clinical text mining; information extraction; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. LÄS MER

5. 9. From Disorder to Order : Extracting clinical findings from unstructured text

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

   Sammanfattning : 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. LÄS MER

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

   Författare :Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER