Papers with imprecise annotation
Comparative evaluation of boundary-relaxed annotation for Entity Linking performance (2023.acl-long)
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| Challenge: | Entity Linking is a critical step for information extraction, allowing the retrieval and understanding of information from unstructured textual sources. |
| Approach: | They propose to use noisy datasets to generate noisy versions of annotated entity mentions and then train three Entity Linking models on this data. |
| Outcome: | The proposed model can be used to associate NE mentions to a single concept in an ontology, allowing for better indexing and relation extraction. |