ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.01414
  4. Cited By
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training

2 December 2020
R. Reddy
Bhavani Iyer
Md Arafat Sultan
Rong Zhang
Avirup Sil
Vittorio Castelli
Radu Florian
Salim Roukos
    OOD
ArXivPDFHTML

Papers citing "End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training"

5 / 5 papers shown
Title
In Situ Answer Sentence Selection at Web-scale
In Situ Answer Sentence Selection at Web-scale
Zeyu Zhang
Thuy Vu
Alessandro Moschitti
38
4
0
16 Jan 2022
Establishing Strong Baselines for TripClick Health Retrieval
Establishing Strong Baselines for TripClick Health Retrieval
Sebastian Hofstatter
Sophia Althammer
Mete Sertkan
Allan Hanbury
MedIm
31
12
0
02 Jan 2022
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Sharon Levy
Kevin Mo
Wenhan Xiong
Wei Wang
OOD
LRM
41
12
0
13 Oct 2021
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
Tanik Saikh
Sovan Kumar Sahoo
Asif Ekbal
P. Bhattacharyya
27
5
0
05 Oct 2021
Biomedical Question Answering: A Survey of Approaches and Challenges
Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin
Zheng Yuan
Guangzhi Xiong
Qian Yu
Huaiyuan Ying
Chuanqi Tan
Mosha Chen
Songfang Huang
Xiaozhong Liu
Sheng Yu
29
95
0
10 Feb 2021
1