Engulf
发表于 2025-3-28 15:18:19
Adarsh Kumarith concepts from the UMLS, and split in an equally-sized training and test set. The best performance on the training set was obtained with a terminology that contained the intersection of the translated terms in combination with several post-processing steps to reduce the number of false-positive d
胆小鬼
发表于 2025-3-28 19:52:39
Ch. Kartikeshwar Patro,Aakarti Garg,Rohit Verma,Ravindra Dhar,Roman Dabrowskined by personal phrases considerably outperformed those from non-personal sentences, indicating their greater suitability for the AP task. We consider these findings could be further applied in the design of strategies for the construction of AP corpora, novel feature selection methods, as well as n
一致性
发表于 2025-3-29 00:09:44
Shivani A. Kumar,H. Prakash,N. Chandra,R. Prakashned by personal phrases considerably outperformed those from non-personal sentences, indicating their greater suitability for the AP task. We consider these findings could be further applied in the design of strategies for the construction of AP corpora, novel feature selection methods, as well as n
连词
发表于 2025-3-29 06:35:19
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过滤
发表于 2025-3-29 10:50:23
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Headstrong
发表于 2025-3-29 15:09:45
Adarsh Kumart focus on the fine-grained recognition still lacks. We revisit the previously unfruitful neural approaches to improve recognition performance for the fine-grained entities. In this paper, we test the feasibility and quality of multitask learning (MTL) to improve fine-grained PICO recognition using
结合
发表于 2025-3-29 19:10:59
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Arable
发表于 2025-3-29 21:28:44
Satendra Kumar,Rohit Verma,Ravindra Dhart focus on the fine-grained recognition still lacks. We revisit the previously unfruitful neural approaches to improve recognition performance for the fine-grained entities. In this paper, we test the feasibility and quality of multitask learning (MTL) to improve fine-grained PICO recognition using
PANEL
发表于 2025-3-30 01:35:35
Navshad Alam,Tahira Khatoon,Vishal Singh Chandel,Rashmiduces a framework to reuse and customise existing real-life data collections. The framework outlines the eligibility criteria and the data structure requirements needed for this task. It also details the process to transform the data into a ground-truth dataset. We apply this framework to two existi
Servile
发表于 2025-3-30 07:58:23
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