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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
3 |
Universal Dependencies 2.2
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
6 |
Learning Abstract Words and Concepts: Insights from Developmental Language Disorder
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Supplementary material from "Learning abstract words and concepts: insights from developmental language disorder" ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Supplementary material from "Learning abstract words and concepts: insights from developmental language disorder" ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Modelling Italian construction flexibility with distributional semantics: are constructions enough?
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Rating Distributions and Bayesian Inference. Enhancing Cognitive Models of Spatial Language Use
|
|
|
|
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
|
|
BASE
|
|
Hide details
|
|
12 |
Learning abstract words and concepts: insights from developmental language disorder
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Event Knowledge in Compositional Distributional Semantics
|
|
|
|
In: http://etd.adm.unipi.it/theses/available/etd-09122018-214628/ (2018)
|
|
BASE
|
|
Show details
|
|
15 |
Explaining Complexity in Human Language Processing: A Distributional Semantic Model
|
|
|
|
In: http://etd.adm.unipi.it/theses/available/etd-07112018-144708/ (2018)
|
|
BASE
|
|
Show details
|
|
16 |
UDLex: un lessico multilingue della struttura argomentale
|
|
|
|
In: http://etd.adm.unipi.it/theses/available/etd-04042018-234129/ (2018)
|
|
BASE
|
|
Show details
|
|
17 |
Logical Metonymy in a Distributional Model of Sentence Comprehension
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2018)
|
|
BASE
|
|
Show details
|
|
|
|