Prompting and tuning: A two-stage unsupervised domain adaptive person re-identification method on vision transformer backbone

S Yu, Z Dou, S Wang - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
This paper explores the Vision Transformer (ViT) backbone for Unsupervised Domain
Adaptive (UDA) person Re-Identification (Re-ID). While some recent studies have validated …

Contextual embedding and model weighting by fusing domain knowledge on biomedical question answering

Y Lu, J Yan, Z Qi, Z Ge, Y Du - Proceedings of the 13th ACM International …, 2022 - dl.acm.org
Biomedical Question Answering aims to obtain an answer to the given question from the
biomedical domain. Due to its high requirement of biomedical domain knowledge, it is …

Correcting the misuse: A method for the Chinese idiom cloze test

X Wang, H Zhao, T Yang, H Wang - Proceedings of Deep …, 2020 - aclanthology.org
The cloze test for Chinese idioms is a new challenge in machine reading comprehension:
given a sentence with a blank, choosing a candidate Chinese idiom which matches the …

Retrospective multi-granularity fusion network for Chinese idiom cloze-style reading comprehension

J Yue, Y Sun, X Bi, Z Chen, Y Zhang - ACM Transactions on Asian and …, 2023 - dl.acm.org
Chinese idiom cloze-style reading comprehension task is of great significance for improving
the machine's ability to understand Chinese idioms, which is one of the essential application …

Development of Hierarchical Attention Network Based Architecture for Cloze-Style Question Answering

F Alsahli, A Mirzal - Emerging Technologies in Computing: Third EAI …, 2020 - Springer
Recently, researchers have been addressing Question Answering (QA) by utilizing deep
learning architectures. Architectures include Recurrent Neural Networks (RNNs) …

A character aware gated convolution model for cloze-style medical machine comprehension

R Omar, N El-Makky, M Torki - 2020 IEEE/ACS 17th …, 2020 - ieeexplore.ieee.org
The machine comprehension research in the medical field has not received significant
attention despite its importance in practical applications. This paper is concerned with the …

Language Models for Cloze Task Answer Generation in Russian

A Nikiforova, S Pletenev, D Sinitsyna… - Proceedings of the …, 2020 - aclanthology.org
Linguistics predictability is the degree of confidence in which language unit (word, part of
speech, etc.) will be the next in the sequence. Experiments have shown that the correct …