Papers with Structured and grounded representation of text
GenIE: Generative Information Extraction (2022.naacl-main)
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| Challenge: | Existing approaches to open information extraction only work with unrealistically small numbers of entities and relations. |
| Approach: | They propose to use a transformer encoder-decoder model to extract triplets from unstructured text . they use 'generative information extraction' to generate triplet representations of information . |
| Outcome: | The proposed model is state-of-the-art on closed information extraction and generalizes from fewer training data points than baselines. |