Automated Question Answering (QA) Task

An Automated Question Answering (QA) Task is a QA task that is an automated NLP task.

• Context:
  • It can be solved by a Question Answering System (that implements a question answering algorithm).
  • It can range from being a Text-based Automated QA Task to being a Visual-based Automated QA Task.
  • It can range from being an Heuristic Question Answering Task to being a Data-Driven Question Answering Task.
  • …
• Example(s):
  • a DUC QA Task.
  • a CLEVR Task.
  • a automated Jeopardy! Game.
  • …
• Counter-Example(s):
  • Manual Question Answering/ Human Question Answering.
  • Automated Document Summarization.
• See: Automated Writing, QA Benchmark.

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References

2017

• (Johnson et al., 2017) ⇒ Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross Girshick. (2017). “CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.” In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2017).

2014

• (Bottou, 2014) ⇒ Léon Bottou. (2014). “From Machine Learning to Machine Reasoning.” In: Machine Learning Journal, 94(2). doi:10.1007/s10994-013-5335-x
  • QUOTE: A plausible definition of “reasoning” could be “algebraically manipulating previously acquired knowledge in order to answer a new question ".

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