Mapping Distributional Semantics to Property Norms with Deep Neural Networks
Word embeddings have been very successful in many natural language processing tasks, but they characterize the meaning of a word/concept by uninterpretable “context signatures”. Such a representation can render results obtained using embeddings difficult to interpret. Neighboring...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/3/2/30 |