Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Long Trieu"'
Autor:
Thi Lan Anh Le, Thi Loan Ta, Thu Minh Dinh, Thi Thuong Vu, Thi Ha Giang Pham, Thi Thanh Nga Bui, Viet Hung Pham, Ngoc Tan Nguyen, Phi Long Trieu, Thi Van Anh Le, Dang Hieu Hoang
Publikováno v:
Проблемы особо опасных инфекций, Vol 0, Iss 4, Pp 84-90 (2024)
The aim of our study was to investigate the antibiotic resistance profiles of Shiga toxin-producing Escherichia coli (STEC), Salmonella spp., Shigella spp., and Staphylococcus aureus strains.Materials and methods. 660 samples were collected at two co
Externí odkaz:
https://doaj.org/article/3f2567853ef147acbb68756cb19066bc
Autor:
Nguyen Xuan Thuy, Nguyen Manh Tien, Vu Truong Thinh, Pham Van Hieu, Hoang Huy Phan, Dam Minh Duc, Bui Tuan Nghia, Tran Minh Long Trieu, Duong Ngoc Le Mai
Publikováno v:
Surgical Techniques Development; Volume 11; Issue 3; Pages: 105-113
Background: Acromioclavicular (AC) dislocation, one of the most common shoulder joint injuries, can be treated by several surgical methods. However, there are still few records about the treatment quality. This study aims to describe the outcomes of
Autor:
Thi Lan Anh Le, Thi Thuong Vu, Thu Minh Dinh, Thi Thanh Nga Bui, Thi Loan Ta, Thi Ha Giang Pham, Viet Hung Phamj, Phi Long Trieu
Publikováno v:
Tạp chí Khoa học và Công nghệ nhiệt đới.
coli contaminated food is increasingly common in Vietnam as well as in the world. In particular, the status of multi-drug resistant E. coli has been recognized and is of great concern globally. In this survey, we isolated 9 E. coli strains from food
Publikováno v:
Bioinformatics
Summary Large-scale pre-trained language models (PLMs) have advanced state-of-the-art (SOTA) performance on various biomedical text mining tasks. The power of such PLMs can be combined with the advantages of deep generative models. These are examples
Publikováno v:
Proceedings of the 21st Workshop on Biomedical Language Processing.
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 18:1-22
Phrase-based machine translation (MT) systems require large bilingual corpora for training. Nevertheless, such large bilingual corpora are unavailable for most language pairs in the world, causing a bottleneck for the development of MT. For the Asian
Publikováno v:
Ananiadou, S 2020, ' DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts ', Bioinformatics (Oxford, England) . https://doi.org/10.1093/bioinformatics/btaa540
Bioinformatics
Bioinformatics
Motivation Recent neural approaches on event extraction from text mainly focus on flat events in general domain, while there are less attempts to detect nested and overlapping events. These existing systems are built on given entities and they depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c9a9180205afa2ff633b302f1f95dc
https://pure.manchester.ac.uk/ws/files/173304600/btaa540.pdf
https://pure.manchester.ac.uk/ws/files/173304600/btaa540.pdf
Autor:
Sophia Ananiadou, Hai-Long Trieu, Nhung T. H. Nguyen, Anh-Khoa Duong Nguyen, Hiroya Takamura, Makoto Miwa
Publikováno v:
BioNLP-OST@EMNLP-IJNCLP
This paper describes our system developed for the coreference resolution task of the CRAFT Shared Tasks 2019. The CRAFT corpus is more challenging than other existing corpora because it contains full text articles. We have employed an existing span-b
We present an exact algorithm for mean-risk optimization subject to a budget constraint, where decision variables may be continuous or integer. The risk is measured by the covariance matrix and weighted by an arbitrary monotone function, which allows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e19a7d6b9381059d10d0dc152a69b3e
http://hdl.handle.net/11577/3269925
http://hdl.handle.net/11577/3269925
Publikováno v:
BioNLP
Trieu, H-L, Nguyen, N, Miwa, M & Ananiadou, S 2018, Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts . in Proceedings of the BioNLP 2018 workshop . pp. 183-188 . < http://aclweb.org/anthology/W18-2324 >
Trieu, H-L, Nguyen, N, Miwa, M & Ananiadou, S 2018, Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts . in Proceedings of the BioNLP 2018 workshop . pp. 183-188 . < http://aclweb.org/anthology/W18-2324 >
Existing biomedical coreference resolution systems depend on features and/orrules based on syntactic parsers. In this paper, we investigate the utility of the stateof-the-art general domain neural coreference resolution system on biomedical texts. Th