Results 81 to 90 of about 569 (150)

Tariff: The Most Beautiful Word in the Dictionary?

Review of International Economics, Volume 34, Issue 3, Page 672-696, August 2026.
ABSTRACT We consider the welfare impacts of US tariff policy at levels proposed by President Donald J. Trump. General‐equilibrium simulations under a widely used transparent one‐sector trade model reveal sizable US welfare losses. When we extend the model to include bilateral firm selection and high resolution input–output linkages, the US losses ...
Edward J. Balistreri, Suraiya Binte Ali, Christine McDaniel   +2 more
wiley   +1 more source

Self-aware cycle curriculum learning for multiple-choice reading comprehension. [PDF]

PeerJ Comput Sci, 2022
Chen H, Li Y.
europepmc   +1 more source

Rationalization for explainable NLP: a survey. [PDF]

Front Artif Intell, 2023
Gurrapu S, Kulkarni A, Huang L, Lourentzou I, Batarseh FA.   +4 more
europepmc   +1 more source

Medical knowledge graph question answering for drug‐drug interaction prediction based on multi‐hop machine reading comprehension

CAAI Transactions on Intelligence Technology
Drug‐drug interaction (DDI) prediction is a crucial issue in molecular biology. Traditional methods of observing drug‐drug interactions through medical experiments require significant resources and labour.
Peng Gao, Feng Gao, Jian‐Cheng Ni, Yu Wang, Fei Wang, Qiquan Zhang   +5 more
doaj   +1 more source

Predicting Gut Microbiome Diversity and Core Species From the Urine Metabolome

MedComm, Volume 7, Issue 9, September 2026.
Yu Lin, Jiaqi Zhu, Alessia Visconti, Kari Wong, Gregory Michelotti, Tim D. Spector, Mario Falchi, Ana M. Valdes, Panayiotis Louca, Cristina Menni   +9 more
wiley   +1 more source

Identifying stroke diagnosis-related features from medical imaging reports to improve clinical decision-making support. [PDF]

BMC Med Inform Decis Mak, 2022
Xu X, Qin L, Ding L, Wang C, Wang M, Li Z, Li J.   +6 more
europepmc   +1 more source

Multi-Paragraph Machine Reading Comprehension with Hybrid Reader over Tables and Text

Applied Artificial Intelligence
In machine reading comprehension, answers to questions may be found in either text or tables. Previous studies have shown that table-specific pre-trained language models perform well when applied to tables; however, applying such models to input data ...
Sanghyun Cho, SeongReol Park, Hye-Lynn Kim, Jung-Hun Lee, JoongMin Shin, Hyuk-Chul Kwon   +5 more
doaj   +1 more source

A BERT-MRC-based method for key entity recognition in power grid field operation texts

Zhejiang dianli
Ensuring production safety in power grids requires effective control and inspection of field operations， where accurate recognition of key equipment entities in operation texts serves as the foundation for intelligent control and inspection.
FEI Zhengming, YUAN Kewei, HUANG Hongyang, ZHANG Yixiang, YIN Fan, ZHOU Hui, LUO Huafeng   +6 more
doaj   +1 more source

Visualizing attention zones in machine reading comprehension models. [PDF]

STAR Protoc, 2022
Cui Y, Zhang WN, Liu T.
europepmc   +1 more source

Applications of Shaped-Charge Learning. [PDF]

Entropy (Basel), 2023
Galitsky B.
europepmc   +1 more source