Confabulation based sentence completion for machine reading

Qinru Qiu, Qing Wu, Daniel J. Burns, Michael J. Moore, Robinson E. Pino, Morgan Bishop, Richard W. Linderman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Sentence completion and prediction refers to the capability of filling missing words in any incomplete sentences. It is one of the keys to reading comprehension, thus making sentence completion an indispensible component of machine reading. Cogent confabulation is a bio-inspired computational model that mimics the human information processing. The building of confabulation knowledge base uses an unsupervised machine learning algorithm that extracts the relations between objects at the symbolic level. In this work, we propose performance improved training and recall algorithms that apply the cogent confabulation model to solve the sentence completion problem. Our training algorithm adopts a two-level hash table, which significantly improves the training speed, so that a large knowledge base can be built at relatively low computation cost. The proposed recall function fills missing words based on the sentence context. Experimental results show that our software can complete trained sentences with 100% accuracy. It also gives semantically correct answers to more than two thirds of the testing sentences that have not been trained before.

Original languageEnglish (US)
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011
Subtitle of host publication2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain
Pages66-73
Number of pages8
DOIs
StatePublished - 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2011 - Paris, France
Duration: Apr 11 2011Apr 15 2011

Publication series

NameIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011: 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain

Other

OtherSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2011
CountryFrance
CityParis
Period4/11/114/15/11

Keywords

  • cogent confabulation
  • hash table
  • machine reading
  • sentence completion
  • unsupervised learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Human-Computer Interaction

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  • Cite this

    Qiu, Q., Wu, Q., Burns, D. J., Moore, M. J., Pino, R. E., Bishop, M., & Linderman, R. W. (2011). Confabulation based sentence completion for machine reading. In IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011: 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (pp. 66-73). [5952109] (IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011: 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain). https://doi.org/10.1109/CCMB.2011.5952109