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1
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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3
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ...
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4
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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8
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 ...
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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)
Abstract: From the comparison between the Zingarelli Italian dictionary 2010 print edition and the 2021 online version, a small specialized corpora consisting of 679 neologisms in usage from 1983 to 2020 was extracted. Neologisms were inserted in a table annotated with: 1) lexicological information; 2) grammatical information; 3) the semantic fields of the Italian Semantic Tagger concocted by doctor Francesca Bianchi from the Department of Humanities of Salento University and professor Elena Semino of the Department of Linguistics and English Language of Lancaster University; 4) the usage labels featured in the definitions of the neologisms in both editions of the dictionary. This paper shows the insertion of words that are lemmatized in the 2010 edition in sections of lemmas of root words devoted to the respective derivative words and polyrematics of the 2021 edition in order to keep its expanded list of entries in a number of pages that is not excessively superior to the first one. First of all, the creation of the corpus is described; subsequently, the definitions of "neologism", "loanword", "adapted loanword" (distinguished between "phonological" and "morphhological adaptation", and "calque"), dialectism, jargon, semantic neologism and neoclassical formation are provided, pointing to internal and contact phenomena that are responsible for such neologisms. Subsequently, the percentages of loanwords for each language are provided. Finally, lemmas from both editions of the dictionary are compared in order to illustrate differences in the macrostructure and microstructure between the respective lemmaries.
Keyword: FILOLOGIA; LETTERATURA E LINGUISTICA
URL: http://etd.adm.unipi.it/theses/available/etd-05102021-214231/
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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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