Papers with resolution accuracy
Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories (P19-1)
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| Challenge: | a lot of recent and traditional research on pragmatically informative object descriptions has focused on the task of correctly labelling objects of novel categories. |
| Approach: | They extend a neural generator to become a pragmatic speaker reasoning about uncertain object categories. |
| Outcome: | The proposed model improves the accuracy of the listener's communication with unfamiliar objects. |
Pre-training Mention Representations in Coreference Models (2020.emnlp-main)
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| Challenge: | Existing methods to improve coreference resolution use labeled data. |
| Approach: | They propose two self-supervised tasks that are closely related to coreference resolution to improve mention representation. |
| Outcome: | The proposed models improve mention representations by learning them on a GAP dataset. |