Improving Cross-Lingual Transfer Learning for Event Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AIIWGTTLB" target="_blank" >RIV/00216208:11320/23:IIWGTTLB - isvavai.cz</a>
Result on the web
<a href="https://search.proquest.com/openview/02581cd09bd950dde50075ac068b7ff6/1?pq-origsite=gscholar&cbl=18750&diss=y" target="_blank" >https://search.proquest.com/openview/02581cd09bd950dde50075ac068b7ff6/1?pq-origsite=gscholar&cbl=18750&diss=y</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improving Cross-Lingual Transfer Learning for Event Detection
Original language description
"The widespread adoption of applications powered by Artificial Intelligencen(AI) backbones has unquestionably changed the way we interact with the worldnaround us. Applications such as automated personal assistants, automatic questionnanswering, and machine-based translation systems have become mainstays ofnmodern culture thanks to the recent considerable advances in Natural LanguagenProcessing (NLP) research. N"
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů