Papers with zero-shot entity typing approach
Description-Based Zero-shot Fine-Grained Entity Typing (N19-1)
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| Challenge: | Existing systems consider a small set of coarse types, but fine-grained Entity Typing can be used for a variety of tasks. |
| Approach: | They propose a zero-shot entity typing approach that utilizes the type description available from Wikipedia to build a distributed semantic representation of the types. |
| Outcome: | The proposed method is able to recognize novel types without additional training on a public benchmark dataset. |
Zero-Shot Open Entity Typing as Type-Compatible Grounding (D18-1)
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| Challenge: | Existing approaches to entity typing have limited flexibility to transfer across text genres and generalize to new type taxonomies. |
| Approach: | They propose a zero-shot entity typing approach that requires no annotated data and can flexibly identify newly defined types. |
| Outcome: | The proposed system outperforms state-of-the-art supervised NER systems on a broad range of datasets and on 'biological domain' it is competitive with supervised systems and outperformed on out-of training datasets. |