Results 91 to 100 of about 569 (150)

Machine Reading Comprehension Based on Improved BiDAF Model

Liaoning Shiyou Huagong Daxue xuebao
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, Fuwei WANG, Dong LI, Yueyang SHANG, Wenbin TAN   +4 more
doaj   +1 more source

Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas

Journal of King Saud University: Computer and Information Sciences
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

ScienceQA: a novel resource for question answering on scholarly articles. [PDF]

Int J Digit Libr, 2022
Saikh T, Ghosal T, Mittal A, Ekbal A, Bhattacharyya P.   +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

A neuro-symbolic method for understanding free-text medical evidence. [PDF]

J Am Med Inform Assoc, 2021
Kang T, Turfah A, Kim J, Perotte A, Weng C.   +4 more
europepmc   +1 more source

ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering. [PDF]

PLoS One
Minh LT, Thinh ND, Loc NKT, Quan LV, Tam ND, Son LH.   +5 more
europepmc   +1 more source

NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities. [PDF]

Bioinformatics, 2023
Loukachevitch N, Manandhar S, Baral E, Rozhkov I, Braslavski P, Ivanov V, Batura T, Tutubalina E.   +7 more
europepmc   +1 more source

English-focused CL-HAMC with contrastive learning and hierarchical attention for multiple-choice reading comprehension. [PDF]

Sci Rep
Ji L, Yao L, Xu W.
europepmc   +1 more source

Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges. [PDF]

Artif Intell Rev
Moradisani H, Zarrinkalam F, Noorian Z, Ensan F.   +3 more
europepmc   +1 more source

Deep learning-based approach for Arabic open domain question answering. [PDF]

PeerJ Comput Sci, 2022
Alsubhi K, Jamal A, Alhothali A.
europepmc   +1 more source