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相关论文: Facilitating Access to Multilingual COVID-19 Infor…

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We release a multilingual neural machine translation model, which can be used to translate text in the biomedical domain. The model can translate from 5 languages (French, German, Italian, Korean and Spanish) into English. It is trained…

计算与语言 · 计算机科学 2020-08-10 Alexandre Bérard , Zae Myung Kim , Vassilina Nikoulina , Eunjeong L. Park , Matthias Gallé

The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education. Meanwhile, the COVID-19 condition is very different among the…

The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations the means by which they can protect themselves. To this end,…

The COVID-19 epidemic is considered as the global health crisis of the whole society and the greatest challenge mankind faced since World War Two. Unfortunately, the fake news about COVID-19 is spreading as fast as the virus itself. The…

社会与信息网络 · 计算机科学 2020-11-24 Yichuan Li , Bohan Jiang , Kai Shu , Huan Liu

This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on the current Covid-19 crisis. Nine teams took part in this…

The majority of language domains require prudent use of terminology to ensure clarity and adequacy of information conveyed. While the correct use of terminology for some languages and domains can be achieved by adapting general-purpose MT…

计算与语言 · 计算机科学 2021-09-13 Toms Bergmanis , Mārcis Pinnis

COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and people who are suffering from prior illnesses or are older…

The global world is crossing a pandemic situation where this is a catastrophic outbreak of Respiratory Syndrome recognized as COVID-19. This is a global threat all over the 212 countries that people every day meet with mighty situations. On…

Machine translation (MT) plays an important role in benefiting linguists, sociologists, computer scientists, etc. by processing natural language to translate it into some other natural language. And this demand has grown exponentially over…

计算与语言 · 计算机科学 2019-01-07 Ankush Garg , Mayank Agarwal

The spread of COVID-19 has become a significant and troubling aspect of society in 2020. With millions of cases reported across countries, new outbreaks have occurred and followed patterns of previously affected areas. Many disease…

计算与语言 · 计算机科学 2020-10-19 Sharon Levy , William Yang Wang

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of…

社会与信息网络 · 计算机科学 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages. Traditionally, these models rely on large amounts of training data, but many language pairs lack these resources.…

计算与语言 · 计算机科学 2023-06-13 Manuel Mager , Rajat Bhatnagar , Graham Neubig , Ngoc Thang Vu , Katharina Kann

Motivated by the global unrest related to the COVID-19 pandemic, we present a system prototype for ontology-based, integration of national data published from various countries. COVID-related data is published from different authorities, in…

数据库 · 计算机科学 2020-08-11 Georgios M. Santipantakis , George A. Vouros , Christos Doulkeridis

In December 2019, a novel virus called COVID-19 had caused an enormous number of causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the Spanish Flu 2019. While the front-line doctors and medical…

Millions of people are infected by the coronavirus disease 2019 (COVID19) around the world. Machine Learning (ML) techniques are being used for COVID19 detection research from the beginning of the epidemic. This article represents the…

机器学习 · 计算机科学 2020-08-18 Md Fahimuzzman Sohan

In 2020, the COVID-19 pandemic resulted in a rapid response from governments and researchers worldwide. As of late 2023, over millions have died as a result of COVID-19, with many COVID-19 survivors going on to experience long-term effects…

计算机与社会 · 计算机科学 2023-12-25 Yo Yehudi , Lukas Hughes-Noehrer , Carole Goble , Caroline Jay

Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life of people owing to enforcements, such as "social distancing"…

社会与信息网络 · 计算机科学 2020-04-20 Zhiwei Gao , Shuntaro Yada , Shoko Wakamiya , Eiji Aramaki

Communication in times of crisis is essential. However, there is often a mismatch between the language of governments, aid providers, doctors, and those to whom they are providing aid. Commercial MT systems are reasonable tools to turn to…

计算与语言 · 计算机科学 2026-01-16 Vipasha Bansal , Elizabeth Brown , Chelsea Kendrick , Benjamin Pong , William D. Lewis

During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage…

机器学习 · 计算机科学 2021-01-05 Cornelius Fritz , Emilio Dorigatti , David Rügamer

In 2019, the entire world is facing a situation of health emergency due to a newly emerged coronavirus (COVID-19). Almost 196 countries are affected by covid-19, while USA, Italy, China, Spain, Iran, and France have the maximum active cases…

图像与视频处理 · 电气工程与系统科学 2020-04-14 Muhammad Ilyas , Hina Rehman , Amine Nait-ali
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