Lexical Question-Answer Type

A Lexical Question-Answer Type is a question-answer type that a lexical type.

• Example(s):
  • It can be a Named-Entity Type.
• See: Watson System.

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References

2012

• (Lally et al., 2012) ⇒ Adam Lally, JM Prager, MC McCord, BK Boguraev, Siddharth Patwardhan, James Fan, Paul Fodor, and Jennifer Chu-Carroll. (2012). “Question Analysis: How Watson Reads a Clue.” In: IBM Journal of Research and Development, 56(3-4).
  • QUOTE: LATs are terms in the question that indicate what type of entity is being asked for.

2010

• (Ferruci et al., 2010) ⇒ David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, Chris Welty(2011). “Building Watson: An overview of the DeepQA project." In: AI Magazine, 31(3).
  • QUOTE: As a measure of the Jeopardy Challenge’s breadth of domain, we analyzed a random sample of 20,000 questions extracting the lexical answer type (LAT) when present. We define a LAT to be a word in the clue that indicates the type of the answer, independent of assigning semantics to that word.

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