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1
Logical reasoning with diagrams & sentences using Hyperproof
Barker-Plummer, Dave; Akhter, Murad (Mitwirkender); Etchemendy, John. - Stanford : CSLI Publications, 2017
BLLDB
UB Frankfurt Linguistik
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2
Using edit distance to analyse errors in a natural language to logic translation corpus
Barker-Plummer, Dave; Dale, Robert; Cox, Richard. - : International Educational Data Mining Society, 2012
BASE
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3
Using edit distance to analyse errors in a natural language to logic translation corpus
BASE
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4
The Impact of Syntax on the Interpretation and Graphical Depiction of Underspecified Propositions
Kalb, Aaron; Barker-Plummer, Dave; Cox, Richard. - : Lawrence Erlbaum, 2010
BASE
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5
Tarski's world
Etchemendy, John; Barwise, Jon; Barker-Plummer, Dave. - Stanford, Calif. : Center for the Study of Language and Information, 2008
BLLDB
UB Frankfurt Linguistik
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6
Graphical revelations: Comparing students' translation errors in graphics and logic.
Abstract: We are interested in developing a better understanding of what it is that students find difficult in learning logic. We use both natural language and diagram-based methods for teaching students the formal language of first-order logic. In this paper, we present some initial results that demonstrate that, when we look at how students construct diagrammatic representations of information expressed in natural language (NL) sentences, the error patterns are different from those observed when students translate from NL to first-order logic (FOL). In the NL-to-diagram construction task, errors associated with the interpretation of the expression not a small dodecahedron were manifested much more frequently with respect to the objects size than with respect to its shape. In the NL-to-FOL task, however, no such asymmetry was observed. We hypothesize a number of possible factors that might be implicated here: differences between the NL-todiagram and NL-to-FOL tasks; the reduced expressivity of diagrams compared to language; scoping errors in participants NL parsing; and the visuospatial properties of the blocks-world domain. In sum, constructing a diagram requires the student to provide an instantiated representation of the meaning of a natural language sentence; this tests their understanding in a way that translation into firstorder logic does not, by ensuring that they are not simply carrying out a symbol manipulation exercise.
URL: http://sro.sussex.ac.uk/id/eprint/23030/
http://www.informatics.sussex.ac.uk/users/richc/papers/CoxetalD2K8.pdf
BASE
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7
An Empirical Study of Errors in Translating Natural Language into Logic
Barker-Plummer, Dave; Cox, Richard; Dale, Robert. - : Cognitive Science Society, 2008
BASE
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8
Diagrams 2006 - Fourth International Conference on the Theory and Applications of Diagrams (Lecture Notes in Computer Science 4045, Springer)
Barker-Plummer, Dave; Cox, Richard; Swoboda, Nik. - : Springer Verlag, 2006
BASE
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9
Diagrammatic reasoning : editorial introduction
In: Words, proofs, and diagrams (Stanford, 2002), p. 1-4
MPI für Psycholinguistik
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10
Words, proofs, and diagrams
Tiede, Hans-Joerg (Mitarb.); Lemon, Oliver (Mitarb.); Koller, Alexander (Mitarb.). - Stanford, Calif. : Univ., Center for the Study of Language and Information, 2002
BLLDB
UB Frankfurt Linguistik
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11
Words, proofs, and diagrams
MPI für Psycholinguistik
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12
Z-match: An Inference Rule for Incrementally Elaborating Set Instantiations (J. Automated Reasoning 11, 391-428, 1993)
In: Journal of automated reasoning. - Dordrecht [u.a.] : Springer 12 (1994) 3, 411-412
OLC Linguistik
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13
L-match: An Inference Rule for Incrementally Elaborating Set Instantiations
In: Journal of automated reasoning. - Dordrecht [u.a.] : Springer 11 (1993) 3, 391-428
OLC Linguistik
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