A survey on machine reading comprehension—tasks, evaluation metrics and benchmark datasets
C Zeng, S Li, Q Li, J Hu, J Hu - Applied Sciences, 2020 - mdpi.com
Machine Reading Comprehension (MRC) is a challenging Natural Language Processing
(NLP) research field with wide real-world applications. The great progress of this field in …
(NLP) research field with wide real-world applications. The great progress of this field in …
ScienceQA: a novel resource for question answering on scholarly articles
Abstract Machine Reading Comprehension (MRC) of a document is a challenging problem
that requires discourse-level understanding. Information extraction from scholarly articles …
that requires discourse-level understanding. Information extraction from scholarly articles …
Deep learning based question answering system in Bengali
T Tahsin Mayeesha, A Md Sarwar… - Journal of Information …, 2021 - Taylor & Francis
Recent advances in the field of natural language processing has improved state-of-the-art
performances on many tasks including question answering for languages like English …
performances on many tasks including question answering for languages like English …
Survey of machine reading comprehension models and its evaluation metrics
M Therasa, G Mathivanan - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Machine Reading Comprehension (MRC) is a challenging task in Natural Language
Processing (NLP) field. It is a fast evolving field in the recent years because of the …
Processing (NLP) field. It is a fast evolving field in the recent years because of the …
Generating biomedical question answering corpora from Q&A forums
Question Answering (QA) is a natural language processing task that aims at obtaining
relevant answers to user questions. While some progress has been made in this area …
relevant answers to user questions. While some progress has been made in this area …
[图书][B] Natural Language Processing and Information Retrieval: Principles and Applications
This book presents the basics and recent advancements in natural language processing
and information retrieval in a single volume. It will serve as an ideal reference text for …
and information retrieval in a single volume. It will serve as an ideal reference text for …
ScholarlyRead: a new dataset for scientific article reading comprehension
We present ScholarlyRead, span-of-word-based scholarly articles' Reading Comprehension
(RC) dataset with approximately 10K manually checked passage-question-answer …
(RC) dataset with approximately 10K manually checked passage-question-answer …
Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
N Varghese, M Punithavalli - Natural Language Processing and … - taylorfrancis.com
Teaching machines to read and learn natural language documents and seek answers to
questions is an elusive task. Traditional question-answering systems were based on rule …
questions is an elusive task. Traditional question-answering systems were based on rule …
[PDF][PDF] Sentiment Analysis Technique for Text Analytics in Scientific Literatures Domain: A Review
April 2020, there are 4.66 billion active internet users and 4.14 billion active social media
users depositing huge amount of data on several social media platform such as Facebook …
users depositing huge amount of data on several social media platform such as Facebook …
[引用][C] 209 Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
N Varghese, M Punithavalli - Natural Language Processing and Information … - CRC Press