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Code and Data for our Findings of ACL 2021 paper titled 'Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. Varun Gangal *, Harsh Jhamtani *, Eduard Hovy, Taylor Berg-Kirkpatrick'

Shell 16.89% Python 83.11%
open-domain-dialog dialog-evaluation data-augmentation common-sense retrieval-based-chatbots

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question about dialog retrieval

So thanks for sharing your work !

I have a few questions about the dialog retrieval task.

  1. For each utterance,how many references to recall as the pseudo reference? 2) the dialog corpus you use to retrieval

Hope to your reply

--max_num_multi_response to reproduce the paper results

Hi! First of all, thank you for sharing your work.

I hope to reproduce the results of SCARCE in a multi-reference setup. In this case, how should I set the value of --max_num_multi_response parameter? Is it okay to set the value as -1 (default)?

Thank you!

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