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Posts under ‘Question Answering’

Robust Inference and Slacker Semantics

In preparing for some natural language generation[1], I came across some work on natural logic[2][3] and reasoning by textual entailment[4] (RTE) by Richard Bergmair in his PhD at Cambridge: Monte Carlo Semantics: Robust Inference and Logical Pattern Processing with Natural Language Text The work he describes overlaps our approach to robust inference from the deep, [...]

Deep Learning, Big Data and Common Sense

Thanks to John Sowa’s comment on LinkedIn for this link which, although slightly dated, contains the following: In August, I had the chance to speak with Peter Norvig, Director of Google Research, and asked him if he thought that techniques like deep learning could ever solve complicated tasks that are more characteristic of human intelligence, [...]

Cognitive modeling of assessment items

Look for a forthcoming post on the broader subject of personalized e-learning.  In the meantime, here’s a tip on writing good multiple choice questions: target wrong answers to diagnose misconceptions. Better approaches to adaptive education model the learning objectives that are assessed by questions such as the following from the American Academy for the Advancement [...]

Suggested questions: Inquire vs. Knewton

Knewton is an interesting company providing a recommendation service for adaptive learning applications.  In a recent post, Jonathon Goldman describes an algorithmic approach to generating questions.  The approach focuses on improving the manual authoring of test questions (known in the educational realm as “assessment items“).  It references work at Microsoft Research on the problem of [...]

Natural Language Leadership at the Allen Institute for Artificial Intelligence (AI2)

Orin Etzioni is a marvelous choice to lead the Allen Institute for AI (aka AI2).  The NL/ML path is the right path for scaling up the deep knowledge that Paul Allen’s vision of a Digital Aristotle requires.  You can read more about it below and here’s more background on the change in the direction and [...]

Artificially Intelligent Educational Technology

Over the last two years, machines have demonstrated their ability to read, listen, and understand English well enough to beat the best at Jeopardy!, answer questions via iPhone, and earn college credit on college advanced placement exams.  Today, Google, Microsoft and others are rushing to respond to IBM and Apple with ever more competent artificially [...]

Deep question answering: Watson vs. Aristotle

At the SemTech conference last week, a few companies asked me how to respond to IBM’s Watson given my involvement with rapid knowledge acquisition for deep question answering at Vulcan.  My answer varies with whether there is any subject matter focus, but essentially involves extending their approach with deeper knowledge and more emphasis on logical [...]