Papers by Thibault Févry
Entities as Experts: Sparse Memory Access with Entity Supervision (2020.emnlp-main)
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| Challenge: | Unlike previous attempts to integrate entity knowledge into sequence models, EaE’s entity representations are learned directly from text. |
| Approach: | They propose a model that can access distinct memories of entities mentioned in a piece of text and a new architecture that can do this. |
| Outcome: | The proposed model outperforms an encoder-generator Transformer model with 10x the parameters on a task that requires 10x more parameters to answer. |