Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages

Yan, Rui; Liao, Weiheng; Cui, Jianwei; Zhang, Hailei; Hu, Yichuan; Zhao, Dongyan

doi:10.1145/3442381.3449991

Cited by 13 publications

(27 citation statements)

References 25 publications

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“…The application of NLP is a real-time analysis that the application can do to potential data flowing from various places. Once the data is connected, it can be analyzed to identify the associated problems and the probable solutions the author can create for this information ( Yan et al, 2021 ). There are several data sources that the application can use for the identification of Information.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 advising application development for Apple devices (iOS)

Alshahrani

Khan

2023

PeerJ Computer Science

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One of humanity’s most devastating health crises was COVID-19. Billions of people suffered during this pandemic. In comparison with previous global pandemics that have been faced by the world before, societies were more accurate with the technical support system during this natural disaster. The intersection of data from healthcare units and the analysis of this data into various sophisticated systems were critical factors. Different healthcare units have taken special consideration to advance technical inputs to fight against such situations. The field of natural language processing (NLP) has dramatically supported this. Despite the primitive methods for monitoring the bio-metric factors of a person, the use of cognitive science has emerged as one of the most critical features during this pandemic era. One of the essential features is the potential to understand the data based on various texts and user inputs. The deployment of various NLP systems is one of the most challenging factors in handling the bulk amount of data flowing from multiple sources. This study focused on developing a powerful application to advise patients suffering from ailments related to COVID-19. The use of NLP refers to facilitating a user to identify the present critical situation and make necessary decisions while getting infected. This article also summarises the challenges associated with NLP and its usage for future NLP-based applications focusing on healthcare units. There are a couple of applications that reside for android-based systems as well as web-based chat-bot systems. In terms of security and safety, application development for iOS is more advanced. This study also explains the block meant of an application for advising COVID-19 infection. A natural language processing powered application for an iOS operating system is indeed one of its kind, which will help people who need to advise proper guidance. The article also portrays NLP-based application development for healthcare problems associated with personal reporting systems.

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Section: Introductionmentioning

confidence: 99%

COVID-19 advising application development for Apple devices (iOS)

Alshahrani

Khan

2023

PeerJ Computer Science

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“…NLP applied to social media data related to COVID-19 may also help monitor people’s mental health during the evolution of the pandemic, act as disease surveillance systems, and help to understand the psychological and sociological processes that can influence people to follow suggested health behaviors for the COVID-19 pandemic. NLP may be applied to the scientific literature, which is evolving fast during the pandemic, to establish real-time evidence-based question-and-answer systems that can automatically translate the latest scientific knowledge to several languages to disseminate the findings globally [ 6 ]. It can also help frontline physicians address problems associated with information overload [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges

2022

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The COVID-19 pandemic is the most devastating public health crisis in at least a century and has affected the lives of billions of people worldwide in unprecedented ways. Compared to pandemics of this scale in the past, societies are now equipped with advanced technologies that can mitigate the impacts of pandemics if utilized appropriately. However, opportunities are currently not fully utilized, particularly at the intersection of data science and health. Health-related big data and technological advances have the potential to significantly aid the fight against such pandemics, including the current pandemic’s ongoing and long-term impacts. Specifically, the field of natural language processing (NLP) has enormous potential at a time when vast amounts of text-based data are continuously generated from a multitude of sources, such as health/hospital systems, published medical literature, and social media. Effectively mitigating the impacts of the pandemic requires tackling challenges associated with the application and deployment of NLP systems. In this paper, we review the applications of NLP to address diverse aspects of the COVID-19 pandemic. We outline key NLP-related advances on a chosen set of topics reported in the literature and discuss the opportunities and challenges associated with applying NLP during the current pandemic and future ones. These opportunities and challenges can guide future research aimed at improving the current health and social response systems and pandemic preparedness.

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“…Though these models are not trained on COVID-19 data, they allow our system to warm start with general biomedical terminology. Other COVID-1 https://trec.nist.gov/data.html 19-related question-answering systems have been created in recent months (Bhatia et al, 2020;Yan et al, 2021;Reddy et al, 2020). However, our system incorporates multiple state-of-the-art information retrieval techniques with dense retrieval and BM25 (Robertson and Zaragoza, 2009) and the additional functionality of diversity re-ranking and multiple answer spans.…”

Section: Introductionmentioning

confidence: 99%

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

Levy¹,

Mo²,

Xiong³

et al. 2021

Preprint

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Since late 2019, COVID-19 has quickly emerged as the newest biomedical domain, resulting in a surge of new information. As with other emergent domains, the discussion surrounding the topic has been rapidly changing, leading to the spread of misinformation. This has created the need for a public space for users to ask questions and receive credible, scientific answers. To fulfill this need, we turn to the task of open-domain question-answering, which we can use to efficiently find answers to free-text questions from a large set of documents. In this work, we present such a system for the emergent domain of COVID-19. Despite the small data size available, we are able to successfully train the system to retrieve answers from a large-scale corpus of published COVID-19 scientific papers. Furthermore, we incorporate effective re-ranking and questionanswering techniques, such as document diversity and multiple answer spans. Our opendomain question-answering system can further act as a model for the quick development of similar systems that can be adapted and modified for other developing emergent domains.

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Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages

Cited by 13 publications

References 25 publications

COVID-19 advising application development for Apple devices (iOS)

COVID-19 advising application development for Apple devices (iOS)

The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

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