Machine Learning to minimize the human efforts in annotating the RDG-Map dialogue acts
Annotation is the process of labelling data and when this is done manually can be a very time-consuming and mentally straining job for the particular type of data. Dialogue acts are conversational interactions and annotating them manually will be a difficult task.The thesis investigates how the incl...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459202 |