Body: <p>Is there a Hugging Face Transformer that takes 2 contexts as input for question answering? For example, I could have transcript of a meeting in first context and agenda of the meeting in the second context. Then ask a question - Did the meeting adhere to the discussion topics given in the agenda? Alternatively, can you suggest how to solve such types of question answering problems that might require multiple contexts?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-12-18T12:05:18.633Z
Comments.Text: You could always just try and combine the two contexts right?
Comments.UserDisplayName: Robin van Hoorn
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-12-21T06:40:00.607Z
Comments.Text: yeach I could do that too. But a transformer with 2 separate contexts is a lot cleaner IMHO.
Comments.UserDisplayName: John Watts
Tags: <natural-language-processing><transformer><question-answering>
Title: NLP: Question answer with 2 contexts
UserDisplayName: John Watts
ThreadText: # NLP: Question answer with 2 contexts
  
  (Asked by: username_0 on 2022-12-16)
  
  Is there a Hugging Face Transformer that takes 2 contexts as input for question answering? For example, I could have transcript of a meeting in first context and agenda of the meeting in the second context. Then ask a question - Did the meeting adhere to the discussion topics given in the agenda? Alternatively, can you suggest how to solve such types of question answering problems that might require multiple contexts?
  
  **Tags:** natural-language-processing, transformer, question-answering
  
  > **Comments:**
  > **username_1**: You could always just try and combine the two contexts right?  
  > **username_0**: yeach I could do that too. But a transformer with 2 separate contexts is a lot cleaner IMHO.  
  
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  ## 0 answers
  
  