Papers by Tisha Anders
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation (2022.findings-acl)
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| Challenge: | uFACT (Un-Faithful Alien Corpora Training) is a training corpus construction method for data-to-text generation models. |
| Approach: | They propose a training corpus construction method for data-to-text (d2t) generation models which augments a target corpus with alien corpora which have different semantic representations. |
| Outcome: | The proposed method generates utterances which represent the semantic content of the data sources more accurately compared to models trained on the target corpus alone. |