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1
Event Knowledge in Sentence Processing: A New Dataset for the Evaluation of Argument Typicality
In: LREC 2018 Workshop on Linguistic and Neurocognitive Resources (LiNCR) ; https://hal.archives-ouvertes.fr/hal-01724286 ; LREC 2018 Workshop on Linguistic and Neurocognitive Resources (LiNCR), May 2018, Miyazaki, Japan (2018)
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2
Modeling Violations of Selectional Restrictions with Distributional Semantics
In: COLING Workshop on Linguistic Complexity and Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838229 ; COLING Workshop on Linguistic Complexity and Natural Language Processing, Aug 2018, Santa Fe, United States (2018)
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3
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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4
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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5
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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6
Learning Abstract Words and Concepts: Insights from Developmental Language Disorder
Ponari, Marta; Lenci, Alessandro; Rotaru, Armand. - : The Royal Society, 2018
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7
PAISÀ Corpus of Italian Web Text
Lyding, Verena; Stemle, Egon; Borghetti, Claudia. - : Institute for Applied Linguistics, Eurac Research, 2018
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8
Supplementary material from "Learning abstract words and concepts: insights from developmental language disorder" ...
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9
Supplementary material from "Learning abstract words and concepts: insights from developmental language disorder" ...
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10
Modelling Italian construction flexibility with distributional semantics: are constructions enough?
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11
Rating Distributions and Bayesian Inference. Enhancing Cognitive Models of Spatial Language Use
Schultheis, Holger; Poibeau, Thierry; Lenci, Alessandro; Kluth, Thomas; Villavicencio, Aline; Idiart, Marco. - : Association for Computational Linguistics, 2018
Abstract: Kluth T, Schultheis H. Rating Distributions and Bayesian Inference. Enhancing Cognitive Models of Spatial Language Use. In: Idiart M, Lenci A, Poibeau T, Villavicencio A, eds. Proceedings of the Eighth Workshop on Cognitive Aspects of Computational Language Learning and Processing . Melbourne, Australia: Association for Computational Linguistics; 2018: 47-55. ; We present two methods that improve the assessment of cognitive models. The first method is applicable to models computing average acceptability ratings. For these models, we propose an extension that simulates a full rating distribution (instead of average ratings) and allows generating individual ratings. Our second method enables Bayesian inference for models generating individual data. To this end, we propose to use the cross-match test (Rosenbaum, 2005) as a likelihood function. We exemplarily present both methods using cognitive models from the domain of spatial language use. For spatial language use, determining linguistic acceptability judgments of a spatial preposition for a depicted spatial relation is assumed to be a crucial process (Logan and Sadler, 1996). Existing models of this process compute an average acceptability rating. We extend the models and – based on existing data – show that the extended models allow extracting more information from the empirical data and yield more readily interpretable information about model successes and failures. Applying Bayesian inference, we find that model performance relies less on mechanisms of capturing geometrical aspects than on mapping the captured geometry to a rating interval.
Keyword: Bayesian inference; cognitive modeling; ddc:000; ddc:410; linguistic judgments; spatial language
URL: https://pub.uni-bielefeld.de/record/2920199
https://pub.uni-bielefeld.de/download/2920199/2920200
https://nbn-resolving.org/urn:nbn:de:0070-pub-29201995
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12
Learning abstract words and concepts: insights from developmental language disorder
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13
Learning Neural Word Salience Scores.
Gargett, Andrew; Bollegala, Danushka; Samardzhiev, Krasen. - : Association for Computational Linguistics, 2018
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14
Event Knowledge in Compositional Distributional Semantics
In: http://etd.adm.unipi.it/theses/available/etd-09122018-214628/ (2018)
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15
Explaining Complexity in Human Language Processing: A Distributional Semantic Model
In: http://etd.adm.unipi.it/theses/available/etd-07112018-144708/ (2018)
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16
UDLex: un lessico multilingue della struttura argomentale
In: http://etd.adm.unipi.it/theses/available/etd-04042018-234129/ (2018)
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17
Logical Metonymy in a Distributional Model of Sentence Comprehension
In: Proceedings of the Society for Computation in Linguistics (2018)
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