covidAsk
Last updated: 2020.06.29
covidAsk answers your questions in real-time with 37K COVID-19 articles provided by AI2. Each of its results has relevant biomedical entities highlighted as well. You can ask questions like: You can also use covidAsk with simple python code as follows:

import requests
import json
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

def covidAsk(query):
    params = {'query': query, 'strat': 'dense_first'}
    res = requests.get('https://covidask.korea.ac.kr/api', params=params, verify=False)
    outs = json.loads(res.text)
    return outs

query = 'Is there concrete evidence for the presence of asymptomatic transmissions?'
results = covidAsk(query)

# Top 10 phrase answers from covidAsk
print([r['answer'] for r in results['ret']])

# Top 10 sentence answers from covidAsk
print([r['context'][r['sent_start']:r['sent_end']] for r in results['ret']])
Code is available here and the paper is available here (to appear at NLP COVID-19 Workshop @ EMNLP2020). covidAsk is a project by Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, and Jaewoo Kang at DMIS Lab of Korea University.
[Recruitment] BioASQ Synergy is a brand new initiative tackling unsolved medical problems, like COVID-19. Biomedical expert volunteers will ask questions and AI systems will try to answer them. Through this dialogue between experts and systems BioASQ Synergy aims to accelerate progress. If you are interested in being part of the BioASQ team of biomedical experts, express your interest here.