Text data augmentation for deep learning
Abstract Natural Language Processing (NLP) is one of the most captivating applications of
Deep Learning. In this survey, we consider how the Data Augmentation training strategy can …
Deep Learning. In this survey, we consider how the Data Augmentation training strategy can …
[HTML][HTML] Deep Learning applications for COVID-19
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
Pre-trained language models in biomedical domain: A systematic survey
Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …
language processing tasks. This also benefits the biomedical domain: researchers from …
Towards mitigating LLM hallucination via self reflection
Large language models (LLMs) have shown promise for generative and knowledge-
intensive tasks including question-answering (QA) tasks. However, the practical deployment …
intensive tasks including question-answering (QA) tasks. However, the practical deployment …
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …
2020 and several hundred new papers continue to be published every day. This incredible …
Biomedical question answering: a survey of approaches and challenges
Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
The COVID-19 global pandemic has resulted in international efforts to understand, track,
and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2 …
and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2 …
Data science approaches to confronting the COVID-19 pandemic: a narrative review
During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …
weapon in combating an infectious disease epidemic and arguably any future infectious …
COBERT: COVID-19 question answering system using BERT
In the current situation of worldwide pandemic COVID-19, which has infected 62.5 Million
people and caused nearly 1.46 Million deaths worldwide as of Nov 2020. The profoundly …
people and caused nearly 1.46 Million deaths worldwide as of Nov 2020. The profoundly …
CAiRE-COVID: A question answering and query-focused multi-document summarization system for COVID-19 scholarly information management
We present CAiRE-COVID, a real-time question answering (QA) and multi-document
summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open …
summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open …