Abstract
How tough is a given question-answering problem? Answers to this question differ greatly among different researchers and groups. To begin rectifying this, we start by giving a quick, simple, propaedeutic formalization of a question-answering problem class. This formalization is just a starting point and should let us answer, at least roughly, this question: What is the relative toughness of two unsolved QA problem classes?.
We are grateful to IBM for grants to Bringsjord that in part enable systematic thinking about the nature of QA, in light of Watson’s victory. We also thank them for providing us with an incarnation of Watson that has helped us with evaluating questions similar to the ones given here.
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Govindarajulu, N.S., Licato, J., Bringsjord, S. (2014). Toward a Formalization of QA Problem Classes. In: Goertzel, B., Orseau, L., Snaider, J. (eds) Artificial General Intelligence. AGI 2014. Lecture Notes in Computer Science(), vol 8598. Springer, Cham. https://doi.org/10.1007/978-3-319-09274-4_22
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DOI: https://doi.org/10.1007/978-3-319-09274-4_22
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