Entity-Based Semantic Adequacy for Data-to-Text Generation (2021.findings-emnlp)
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| Challenge: | Existing pre-trained language models have improved the fluency of text generation systems, but semantic adequacy remains an unsolved issue. |
| Approach: | They propose an automatic evaluation metric to assess to what extent models that verbalise RDF graphs produce text that contains mentions of entities occurring in the input. |
| Outcome: | The proposed metric can be used to assess to what extent generation models verbalise RDF graphs produce text that contains mentions of the entities occurring in the input. |
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