What Are People Asking About COVID-19? A Question Classification Dataset

26 May 2020

Papers citing "What Are People Asking About COVID-19? A Question Classification Dataset"

8 / 8 papers shown

Title
CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset Ting-Hao 'Kenneth' Huang Huang Chieh-Yang C. C. Ding Yen-Chia Hsu C. Lee Giles 40 14 0 05 May 2020
Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 Muhammad Abdul-Mageed AbdelRahim Elmadany El Moatez Billah Nagoudi Dinesh Pabbi Kunal Verma Rannie Lin 26 18 0 02 May 2020
Measuring Emotions in the COVID-19 Real World Worry Dataset Bennett Kleinberg Isabelle van der Vegt Maximilian Mozes 8 158 0 08 Apr 2020
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance Wataru Sakata Tomohide Shibata Ribeka Tanaka Sadao Kurohashi RALM 29 107 0 08 May 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 64 1,931 0 31 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 655 93,936 0 11 Oct 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 30 215 0 19 May 2018
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 207 13,079 0 12 Mar 2015