Relation Extraction on Swedish Text by the Use of Semantic Fields and Deep Multi-Channel Convolutional Neural Networks
This thesis makes two contributions to the research domain of relation extraction (RE), i.e., the automated discovery of semantic links in unstructured text. The first contribution is a method for creating a dataset for RE, and using it to create the first Swedish RE dataset involving nine relations...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262494 |