TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching

đŸ€—Transformers
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Hi everyone, I came across a paper called ‘TableGPT: Few-shot Table-to-Text Generation
with Table Structure Reconstruction and Content Matching’. (https://aclanthology.org/2020.coling-main.179.pdf) This paper uses transforms and GPT-2, the creator has put his code online on github (GitHub - syw1996/TableGPT). There is no documentation for the code, is there anyone who has already worked with this code and knows how I can give a table as input to get a sentence back?

Thanks in advance and Kind regards Vito

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team, it will be helpful if you consider this request.

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Alguma evolução neste tópico? Estou interessado também, se eu tiver algum progresso posso publicar aqui.

Translated:

Any developments on this topic? I’m interested too, if I have any progress I can post it here.