General Purpose Vector Representation for Swedish Documents : An application of Neural Language Models
This thesis is a proof-of-concept for embedding Swedish documents using continuous vectors. These vectors can be used as input in any subsequent task and serves as an alternative to discrete bag of words vectors. The differences goes beyond fewer dimensions as the continuous vectors also hold contex...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för fysik
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160109 |