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Autor:
Calixto, I., Raganato, A., Pasini, T., Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y.
Publikováno v:
The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL-HLT 2021 : proceedings of the conference : June 6-11, 2021, 3651-3661
STARTPAGE=3651;ENDPAGE=3661;TITLE=The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
NAACL-HLT
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
STARTPAGE=3651;ENDPAGE=3661;TITLE=The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
NAACL-HLT
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Masked language models have quickly become the de facto standard when processing text. Recently, several approaches have been proposed to further enrich word representations with external knowledge sources such as knowledge graphs. However, these mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab4d34426d9da2cc48fcdaafa8e51756
https://dare.uva.nl/personal/pure/en/publications/wikipedia-entities-as-rendezvous-across-languages-grounding-multilingual-language-models-by-predicting-wikipedia-hyperlinks(ff3a2bc3-514f-4b34-91e2-b95e38f2a026).html
https://dare.uva.nl/personal/pure/en/publications/wikipedia-entities-as-rendezvous-across-languages-grounding-multilingual-language-models-by-predicting-wikipedia-hyperlinks(ff3a2bc3-514f-4b34-91e2-b95e38f2a026).html
Autor:
Marianna Apidianaki, Aina Garí Soler
Publikováno v:
NAACL-HLT
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
The intensity relationship that holds between scalar adjectives (e.g., nice < great < wonderful) is highly relevant for natural language inference and common-sense reasoning. Previous research on scalar adjective ranking has focused on English, mainl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cb19f7b91f25e9cb968394ba0798f56
http://hdl.handle.net/10138/330988
http://hdl.handle.net/10138/330988