| Challenge: | In medicine, selecting relevant reports from a large database is time-consuming and could result in overlooking important information. |
| Approach: | They propose a representation learning algorithm that creates a semantic representation space for documents where the clinically related documents lie close to each other. |
| Outcome: | The proposed model can be used to generate a diagrammatic summary of a set of documents each of which pertains to loosely related topics. |
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Representation Learning of Entities and Documents from Knowledge Base Descriptions (C18-1)
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| Challenge: | Using documents extracted from Wikipedia, we train a neural network model that learns distributed representations of entities and documents directly from a knowledge base. |
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