Project Details
Description
The information workload can be reduced when machine reading can provide literature summaries and overviews of new ideas. Professor Yi-Ke Guo, at Imperial College London, is using Elsevier data to understand the interaction between world knowledge and language via deep learning and natural language processing techniques. To accomplish this, a large set of documents is fed to a framework based on deep neural networks, which is then trained to make inferences about knowledge and create new documents based on vocabularies and ontologies provided by Professor Guo's Team.
Status | Finished |
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Effective start/end date | 10/1/15 → 03/1/20 |