You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for the amazing work on phrase retrieval. I was recently working on a question answering project and stumbled upon this work. Our project however involves non-answerable questions as in Squad2.0.
To prevent answering, I tried to threshold the score obtained in the meta data of the results, but it seemed that it was not well calibrated (since it is not trained on non-answerable sets)
Could you please guide me on how I could train this model to perform a good distinction between answerable and non-answerable questions. Otherwise, advice on properly using score to achieve this would also be great.
The text was updated successfully, but these errors were encountered:
Hello!
Thanks for the amazing work on phrase retrieval. I was recently working on a question answering project and stumbled upon this work. Our project however involves non-answerable questions as in Squad2.0.
To prevent answering, I tried to threshold the
score
obtained in the meta data of the results, but it seemed that it was not well calibrated (since it is not trained on non-answerable sets)Could you please guide me on how I could train this model to perform a good distinction between answerable and non-answerable questions. Otherwise, advice on properly using
score
to achieve this would also be great.The text was updated successfully, but these errors were encountered: