Sökning: "named entity detection"

Hittade 4 avhandlingar innehållade orden named entity detection.

1. 1. Models and Algorithms for Automatic Detection of Language Evolution

   Författare :Nina Tahmasebi; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Language Evolution; Named Entity Evolution; Word Sense Evolution;

   Sammanfattning : .... LÄS MER

3. 2. 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

4. 3. 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

5. 4. Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language

   Författare :Wafia Adouane; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Natural language processing; Deep neural networks; Low-resourced language; Colloquial language; Code-switch; Dialectal Arabic; User-generated data; Non-standardised orthography; Algerian language;

   Sammanfattning : In this thesis we explore to what extent deep neural networks (DNNs), trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial languages lacking both large automated data and processing tools, for instance tokenisers, morpho-syntactic and semantic parsers, etc. We opt for an end-to-end learning approach because this kind of data is hard to control due to its high orthographic and linguistic variability. LÄS MER