Results 111 to 120 of about 712 (175)
Applications of Shaped-Charge Learning. [PDF]
Entropy (Basel), 2023 Galitsky B.
europepmc +1 more source
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and opportunities associated with using real-world data for machine reading ...
Luu, Son T. +4 more
core
Towards numerical reasoning in machine reading comprehension
Answering questions about a specific context often requires integrating multiple pieces of information and reasoning about them to arrive at the intended answer.
Al-Negheimish, Hadeel
core +1 more source
Machine Reading Comprehension Based on Improved BiDAF Model
Liaoning Shiyou Huagong Daxue xuebaoMachine 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
Visualizing attention zones in machine reading comprehension models. [PDF]
STAR Protoc, 2022 Cui Y, Zhang WN, Liu T.
europepmc +1 more source
, 2022 Emotion-cause pair extraction (ECPE) is an emerging task in emotion cause analysis, which extracts potential emotion-cause pairs from an emotional document. Most recent studies use end-to-end methods to tackle the ECPE task. However, these methods either
Song, Dandan +3 more
core
Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
Journal of King Saud University: Computer and Information SciencesDeep 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
This paper proposes a Tibetan judicial event argument extraction method based on machine reading comprehension (MRC) to address the challenges of data scarcity and insufficient model generalization in low-resource language scenarios.
Lu Gao, Xiaobing Zhao
core +1 more source
ScienceQA: a novel resource for question answering on scholarly articles. [PDF]
Int J Digit Libr, 2022 Saikh T +4 more
europepmc +1 more source
Biomedical relation extraction via knowledge-enhanced reading comprehension. [PDF]
BMC Bioinformatics, 2022 Chen J, Hu B, Peng W, Chen Q, Tang B.
europepmc +1 more source