Identifying stroke diagnosis-related features from medical imaging reports to improve clinical decision-making support. [PDF]
Xu X +6 more
europepmc +1 more source
Machine Reading Comprehension Based on Improved BiDAF Model
Machine Reading Comprehension(MRC) aims to enable machines to independently reason and extract information and answer questions. This study proposes improvements based on the Bidirectional Attention Flow(BiDAF) model to enhance the accuracy and ...
Yunfei ZHANG +4 more
doaj +1 more source
Applications of Shaped-Charge Learning. [PDF]
Galitsky B.
europepmc +1 more source
Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
Deep learning has significantly advanced the question-answering (QA) systems across various sectors. However, Arabic-language systems for Hajj-related fatwas (non-binding Islamic legal opinions issued by muftis) remain underdeveloped.
Hayfa A. Aleid, Aqil M. Azmi
doaj +1 more source
ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering. [PDF]
Minh LT +5 more
europepmc +1 more source
ScienceQA: a novel resource for question answering on scholarly articles. [PDF]
Saikh T +4 more
europepmc +1 more source
English-focused CL-HAMC with contrastive learning and hierarchical attention for multiple-choice reading comprehension. [PDF]
Ji L, Yao L, Xu W.
europepmc +1 more source
Biomedical relation extraction via knowledge-enhanced reading comprehension. [PDF]
Chen J, Hu B, Peng W, Chen Q, Tang B.
europepmc +1 more source
Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges. [PDF]
Moradisani H +3 more
europepmc +1 more source
SONIVA database: Speech recognition validation in aphasia. [PDF]
Sanguedolce G +6 more
europepmc +1 more source

