TY - CONF
T1 - Automating the encoding for the LISA model of analogy from raw text
AU - Wilner, Sean
AU - Hummel, J. E.
N1 - Funding Information:
c Copyright held by the authors. is material is based on research sponsored by the Air Force Research Laboratory, under agreement number FA9550-12-1-0003.e U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. Author’saddresses: S. Wilner, Illinois Informatics Institute, University of Illinois UrbanaChampaign; JE Hummel, Department of Psychology, University of Illinois UrbanaChaimpaign.
Funding Information:
is material is based on research sponsored by the Air Force Research Laboratory, under agreement number FA9550-12-1-0003.e U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. e authors would also like to thank Hani Awni and Megan Emigh for their input throughout the process.
Publisher Copyright:
© Copyright held by the authors.
PY - 2017
Y1 - 2017
N2 - Analogy is an integral part of human cognition. Consequently researchers would like to produce computational models of analogy to test implementations of theoretical claims. Such computational models have relied almost exclusively upon hand-coded representations, making the resulting models too dependent upon the modeler's choices, and thus difficult to interpret in isolation of the modeler. In an effort to combat this dependency, we present here a means of automatic encoding for the LISA model of analogy and inference.
AB - Analogy is an integral part of human cognition. Consequently researchers would like to produce computational models of analogy to test implementations of theoretical claims. Such computational models have relied almost exclusively upon hand-coded representations, making the resulting models too dependent upon the modeler's choices, and thus difficult to interpret in isolation of the modeler. In an effort to combat this dependency, we present here a means of automatic encoding for the LISA model of analogy and inference.
KW - Analogy
KW - Cognitive Psychology
KW - Computational Linguistics
KW - Natural Language Processing
UR - http://www.scopus.com/inward/record.url?scp=85031287174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85031287174&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85031287174
SP - 115
EP - 122
T2 - 28th Modern Artificial Intelligence and Cognitive Science Conference, MAICS 2017
Y2 - 28 April 2017 through 29 April 2017
ER -