Progress and Challenges in Long-Form Open-Domain Question Answering

 By Google AI Blog - 2021-03-23

Description

Posted by Aurko Roy, Research Scientist, Google Research Open-domain long-form question answering (LFQA) is a fundamental challenge in n...

Summary

  • Open-domain long-form question answering (LFQA) is a fundamental challenge in natural language processing (NLP) that involves retrieving documents relevant to a given question and using them to generate an elaborate paragraph-length answer.
  • These droplets are in fact a lot bigger than the water droplets in the clouds, so when the plane passes through them, they can cause the air pressure to change, causing the water droplets to condense into clouds.
  • This is what you see when you look at a cloud formation from the ground.
  • Moreover, we find issues with the Rouge-L metric used to evaluate the quality of text generation, with trivial nonsensical baselines, such as a Random Training Set answer and Input Copying, achieving relatively high Rouge-L scores (even beating BART + DPR and RAG).

 

Topics

  1. NLP (0.39)
  2. Management (0.06)
  3. Stock (0.04)

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