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A Self-Paced Reading Study on Processing Constructions with Different Degrees of Compositionality
In: The 35th Annual Conference on Human Sentence Processing ; https://hal.archives-ouvertes.fr/hal-03620795 ; The 35th Annual Conference on Human Sentence Processing, Mar 2022, UC Santa Cruz, United States (2022)
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2
Probing for the Usage of Grammatical Number ...
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Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ...
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Not all arguments are processed equally: a distributional model of argument complexity [<Journal>]
Chersoni, Emmanuele [Verfasser]; Santus, Enrico [Verfasser]; Lenci, Alessandro [Verfasser].
DNB Subject Category Language
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5
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
In: Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-03312774 ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, Aug 2021, Online, France. pp.1-11, &#x27E8;10.18653/v1/2021.starsem-1.1&#x27E9; (2021)
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6
Not all arguments are processed equally: a distributional model of argument complexity
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03533181 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (4), pp.873-900. &#x27E8;10.1007/s10579-021-09533-9&#x27E9; (2021)
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7
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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9
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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10
Not all arguments are processed equally: a distributional model of argument complexity
In: Springer Netherlands (2021)
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11
Decoding Word Embeddings with Brain-Based Semantic Features ...
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12
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
Abstract: Prior research has explored the ability of computational models to predict a word semantic fit with a given predicate. While much work has been devoted to modeling the typicality relation between verbs and arguments in isolation, in this paper we take a broader perspective by assessing whether and to what extent computational approaches have access to the information about the typicality of entire events and situations described in language (Generalized Event Knowledge). Given the recent success of Transformers Language Models (TLMs), we decided to test them on a benchmark for the dynamic estimation of thematic fit. The evaluation of these models was performed in comparison with SDM, a framework specifically designed to integrate events in sentence meaning representations, and we conducted a detailed error analysis to investigate which factors affect their behavior. Our results show that TLMs can reach performances that are comparable to those achieved by SDM. However, additional analysis consistently ...
Keyword: Computational Algorithm; Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://dx.doi.org/10.48448/6xfs-sx93
https://underline.io/lecture/29800-did-the-cat-drink-the-coffeequestion-challenging-transformers-with-generalized-event-knowledge
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13
A comparative evaluation and analysis of three generations of Distributional Semantic Models ...
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14
Constructional associations trump lexical associations in processing valency coercion
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15
Common-Sense and Common-Knowledge. How much do Neural Language Models know about the world?
In: http://etd.adm.unipi.it/theses/available/etd-03122021-000321/ (2021)
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16
I neologismi nelle edizioni del 2010 e del 2021 del dizionario "Zingarelli della lingua italiana"
In: http://etd.adm.unipi.it/theses/available/etd-05102021-214231/ (2021)
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17
Large-scale Cross-lingual Word Sense Disambiguation using Parallel Corpora
In: http://etd.adm.unipi.it/theses/available/etd-09112021-110903/ (2021)
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18
Probing the linguistic knowledge of word embeddings: A case study on colexification
In: http://etd.adm.unipi.it/theses/available/etd-06212021-172428/ (2021)
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19
"Love is an open door but not a table". Come uomini e macchine 'comprendono' le metafore lessicalizzate e creative.
In: http://etd.adm.unipi.it/theses/available/etd-03242021-214055/ (2021)
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20
Le interpretazioni del concetto di composizionalita' delle espressioni idiomatiche nella letteratura psicolinguistica
In: http://etd.adm.unipi.it/theses/available/etd-09132021-151853/ (2021)
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