Papers with entity-based neural local coherence model
Entity-based Neural Local Coherence Modeling (2022.acl-long)
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| Challenge: | Recent neural coherence models encode the input document using large-scale pretrained language models. |
| Approach: | They propose an entity-based neural local coherence model which is linguistically more sound than previous models. |
| Outcome: | The proposed model outperforms existing models on three downstream tasks. |