A survey on machine reading comprehension systems

R Baradaran, R Ghiasi, H Amirkhani - Natural Language Engineering, 2022 - cambridge.org
Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …

MLQA: Evaluating cross-lingual extractive question answering

P Lewis, B Oğuz, R Rinott, S Riedel… - arXiv preprint arXiv …, 2019 - arxiv.org
Question answering (QA) models have shown rapid progress enabled by the availability of
large, high-quality benchmark datasets. Such annotated datasets are difficult and costly to …

English machine reading comprehension datasets: A survey

D Dzendzik, C Vogel, J Foster - arXiv preprint arXiv:2101.10421, 2021 - arxiv.org
This paper surveys 60 English Machine Reading Comprehension datasets, with a view to
providing a convenient resource for other researchers interested in this problem. We …

VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models

XQ Dao, NB Le, TD Vo, XD Phan, BB Ngo… - arXiv preprint arXiv …, 2023 - arxiv.org
The VNHSGE (VietNamese High School Graduation Examination) dataset, developed
exclusively for evaluating large language models (LLMs), is introduced in this article. The …

Sberquad–russian reading comprehension dataset: Description and analysis

P Efimov, A Chertok, L Boytsov, P Braslavski - Experimental IR Meets …, 2020 - Springer
The paper presents SberQuAD–a large Russian reading comprehension (RC) dataset
created similarly to English SQuAD. SberQuAD contains about 50K question-paragraph …

Leaf: Multiple-choice question generation

K Vachev, M Hardalov, G Karadzhov… - … on Information Retrieval, 2022 - Springer
Testing with quiz questions has proven to be an effective way to assess and improve the
educational process. However, manually creating quizzes is tedious and time-consuming …

EXAMS: A multi-subject high school examinations dataset for cross-lingual and multilingual question answering

M Hardalov, T Mihaylov, D Zlatkova, Y Dinkov… - arXiv preprint arXiv …, 2020 - arxiv.org
We propose EXAMS--a new benchmark dataset for cross-lingual and multilingual question
answering for high school examinations. We collected more than 24,000 high-quality high …

A survey of deep learning techniques for machine reading comprehension

S Kazi, S Khoja, A Daud - Artificial Intelligence Review, 2023 - Springer
Reading comprehension involves the process of reading and understanding textual
information in order to answer questions related to it. It finds practical applications in various …

Slovak dataset for multilingual question answering

D Hládek, J Staš, J Juhár, T Koctúr - IEEE Access, 2023 - ieeexplore.ieee.org
SK-QuAD is the first manually annotated dataset of questions and answers in Slovak. It
consists of more than 91k factual questions and answers from various fields. Each question …

A survey on non-english question answering dataset

A Chandra, A Fahrizain, SW Laufried - arXiv preprint arXiv:2112.13634, 2021 - arxiv.org
Research in question answering datasets and models has gained a lot of attention in the
research community. Many of them release their own question answering datasets as well …