DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...373
Hits 1 – 20 of 7.453

1
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
BASE
Show details
2
Islands and Bridges of Language: Bio-Inspired Structural Analysis of Language Embedding Data
Zhou, Hongwei. - : eScholarship, University of California, 2022
BASE
Show details
3
VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
BASE
Show details
4
Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
Dinkar, Tanvi. - : HAL CCSD, 2022
In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
BASE
Show details
5
An Ontology based Smart Management of Linguistic Knowledge
In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
BASE
Show details
6
PROTECT: A Pipeline for Propaganda Detection and Classification
In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
BASE
Show details
7
Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
BASE
Show details
8
Sentence Processing in Traumatic Brain Injury (Key-DeLyria, 2016) ...
Key-DeLyria, Sarah E.. - : ASHA journals, 2022
BASE
Show details
9
Sentence Processing in Traumatic Brain Injury (Key-DeLyria, 2016) ...
Key-DeLyria, Sarah E.. - : ASHA journals, 2022
BASE
Show details
10
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
BASE
Show details
11
Writing Products in LLD (Koutsoftas, 2016) ...
Koutsoftas, Anthony D.. - : ASHA journals, 2022
BASE
Show details
12
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
BASE
Show details
13
Writing Products in LLD (Koutsoftas, 2016) ...
Koutsoftas, Anthony D.. - : ASHA journals, 2022
BASE
Show details
14
Language Skills of Youth Offenders (Lount et al., 2017) ...
Lount, Sarah A.; Purdy, Suzanne C.; Hand, Linda. - : ASHA journals, 2022
BASE
Show details
15
Language Skills of Youth Offenders (Lount et al., 2017) ...
Lount, Sarah A.; Purdy, Suzanne C.; Hand, Linda. - : ASHA journals, 2022
BASE
Show details
16
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
Wei, Megan. - : Open Science Framework, 2022
Abstract: How much can be learned about the structure of thinking from the statistics of language alone? Large language models -- neural models trained on next-word prediction tasks over large corpuses of text -- have made striking advances in modeling the statistical distribution of language. Sufficiently large corpuses contain language in which humans describe their beliefs and intentions, their goals and plans, and their stories about occurrences in real and imaginary worlds. Richly structured cognitive processes underlie this language that we produce; however, can such structure be captured when modeling distributional co-occurance of words alone? Is language modeling alone sufficiently flexible, accurate, and robust enough to generate language for novel, out-of-distribution queries, or are model-based approaches needed? In this study, we compare human and large-language-model performance on two domains which draw on structured, model-based thinking: 1) goal-based planning, and 2) explanation generation for causal ...
Keyword: Artificial Intelligence and Robotics; Computer Sciences; GPT-3; Language Models; Natural Language Processing; Physical Sciences and Mathematics; Planning
URL: https://dx.doi.org/10.17605/osf.io/cy72b
https://osf.io/cy72b/
BASE
Hide details
17
Unsupervised quantification of entity consistency between photos and text in real-world news ...
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
BASE
Show details
18
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
BASE
Show details
19
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
BASE
Show details
20
Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
Weigelt, Sebastian. - : KIT Scientific Publishing, 2022
BASE
Show details

Page: 1 2 3 4 5...373

Catalogues
37
0
0
0
0
2
8
Bibliographies
33
0
0
0
0
0
0
5
30
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
7.372
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern