[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 …
Mapping the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
Building a knowledge graph to enable precision medicine
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models
Existing neural information retrieval (IR) models have often been studied in homogeneous
and narrow settings, which has considerably limited insights into their out-of-distribution …
and narrow settings, which has considerably limited insights into their out-of-distribution …
[图书][B] Pretrained transformers for text ranking: Bert and beyond
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …
response to a query. Although the most common formulation of text ranking is search …
Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering
Abstract Retrieval Augment Generation (RAG) is a recent advancement in Open-Domain
Question Answering (ODQA). RAG has only been trained and explored with a Wikipedia …
Question Answering (ODQA). RAG has only been trained and explored with a Wikipedia …
LitCovid: an open database of COVID-19 literature
Since the outbreak of the current pandemic in 2020, there has been a rapid growth of
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added …
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added …
A critical overview of computational approaches employed for COVID-19 drug discovery
COVID-19 has resulted in huge numbers of infections and deaths worldwide and brought
the most severe disruptions to societies and economies since the Great Depression …
the most severe disruptions to societies and economies since the Great Depression …
An open source machine learning framework for efficient and transparent systematic reviews
R Van De Schoot, J De Bruin, R Schram… - Nature machine …, 2021 - nature.com
To help researchers conduct a systematic review or meta-analysis as efficiently and
transparently as possible, we designed a tool to accelerate the step of screening titles and …
transparently as possible, we designed a tool to accelerate the step of screening titles and …
Fact or fiction: Verifying scientific claims
We introduce scientific claim verification, a new task to select abstracts from the research
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …