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pro vyhledávání: '"Zero/Few-shot classification"'
The classification of legal texts is usually carried out by domain experts in force at institutions. The classification process is very complex because the reference thesauri are very rich, both in terms of variety of concepts and in terms of numbers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3668::b4386b8608e16c2add510d9afb7cbdb2
https://hdl.handle.net/11590/433508
https://hdl.handle.net/11590/433508
Conference
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Autor:
Liu, Jiarun, Zhou, Hong-Yu, Li, Cheng, Huang, Weijian, Yang, Hao, Liang, Yong, Wang, Shanshan
Existing contrastive language-image pre-training aims to learn a joint representation by matching abundant image-text pairs. However, the number of image-text pairs in medical datasets is usually orders of magnitude smaller than that in natural datas
Externí odkaz:
http://arxiv.org/abs/2401.01591
Accurately evaluating the similarity of object vector embeddings is of critical importance for natural language processing, information retrieval and classification tasks. Popular similarity scores (e.g cosine similarity) are based on pairs of embedd
Externí odkaz:
http://arxiv.org/abs/2308.09765
Publikováno v:
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences; 4/15/2024, Vol. 382 Issue 2270, p1-19, 19p
Publikováno v:
ACM Transactions on Information Systems; 2021, Vol. 39 Issue 1, p1-35, 35p
This 10-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on Computer Vision, in Hanoi, Vietnam, held during December 8–12, 2024. The 270 full papers together included in this volume were carefully reviewed and sel
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in