Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Demberg, V."'
Publikováno v:
Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022)
We present DiscoGeM, a crowdsourced corpus of 6,505 implicit discourse relations from three genres: political speech,literature, and encyclopedic texts. Each instance was annotated by 10 crowd workers. Various label aggregation methodswere explored t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::e716bb1511f96765bd8200e35820182e
https://hdl.handle.net/21.11116/0000-000C-7AE3-B21.11116/0000-000C-7AE5-9
https://hdl.handle.net/21.11116/0000-000C-7AE3-B21.11116/0000-000C-7AE5-9
Publikováno v:
Proceedings of The Workshop on Automatic Summarization for Creative Writing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::4cf1f4cb828a091654a16c1aaa84e82b
https://aclanthology.org/2022.creativesumm-1.9
https://aclanthology.org/2022.creativesumm-1.9
It is generally assumed that readers draw on their background knowledge to make inferences about information that is left implicit in the text. However, readers may differ in how much background knowledge they have, which may impact their text unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::51c2edf1ccff7a4db1574f57810ef386
https://dspace.library.uu.nl/handle/1874/426477
https://dspace.library.uu.nl/handle/1874/426477
Publikováno v:
Scopus-Elsevier
Akademický článek
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Autor:
Leonandya, R., Hupkes, D., Bruni, E., Kruszewski, G., Dobnik, S., Chatzikyriakidis, S., Demberg, V.
Publikováno v:
Proceedings of the 13th International Conference on Computational Semantics-Long Papers: IWCS 2019 : 23-27 May, 2019, University of Gothenburg, Gothenburg, Sweden, 223-234
STARTPAGE=223;ENDPAGE=234;TITLE=Proceedings of the 13th International Conference on Computational Semantics-Long Papers
IWCS (1)
STARTPAGE=223;ENDPAGE=234;TITLE=Proceedings of the 13th International Conference on Computational Semantics-Long Papers
IWCS (1)
Learning to follow human instructions is a long-pursued goal in artificial intelligence. The task becomes particularly challenging if no prior knowledge of the employed language is assumed while relying only on a handful of examples to learn from. Wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b78a48c47045f24a366a37aa10da6751
https://dare.uva.nl/personal/pure/en/publications/the-fast-and-the-flexible-training-neural-networks-to-learn-to-follow-instructions-from-small-data(6fb6a1c6-27be-4b23-b49a-d28881d5d7ea).html
https://dare.uva.nl/personal/pure/en/publications/the-fast-and-the-flexible-training-neural-networks-to-learn-to-follow-instructions-from-small-data(6fb6a1c6-27be-4b23-b49a-d28881d5d7ea).html
Autor:
Shekhar, R., Takmaz, E., Fernández, R., Bernardi, R., Dobnik, S., Chatzikyriakidis, S., Demberg, V.
Publikováno v:
Proceedings of the 13th International Conference on Computational Semantics-Long Papers: IWCS 2019 : 23-27 May, 2019, University of Gothenburg, Gothenburg, Sweden, 211-222
STARTPAGE=211;ENDPAGE=222;TITLE=Proceedings of the 13th International Conference on Computational Semantics-Long Papers
IWCS (1)
Scopus-Elsevier
STARTPAGE=211;ENDPAGE=222;TITLE=Proceedings of the 13th International Conference on Computational Semantics-Long Papers
IWCS (1)
Scopus-Elsevier
The multimodal models used in the emerging field at the intersection of computational linguistics and computer vision implement the bottom-up processing of the `Hub and Spoke' architecture proposed in cognitive science to represent how the brain proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5d32e8963e21ddd4f6a79d158e40dce
Akademický článek
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Publikováno v:
Eleventh International Conference on Language Resources and Evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::bdff3b7ce83176bd7a7b5200da164c41
http://lrec2018.lrec-conf.org/en/
http://lrec2018.lrec-conf.org/en/
Akademický článek
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