CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset

5 May 2020

Papers citing "CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset"

10 / 10 papers shown

Title
An Information Retrieval and Extraction Tool for Covid-19 Related Papers Marcos V. L. Pivetta 20 0 0 20 Jan 2024
An Interactive UI to Support Sensemaking over Collections of Parallel Texts Joyce Zhou Elena L. Glassman Daniel S. Weld 36 1 0 11 Mar 2023
Specialized Document Embeddings for Aspect-based Similarity of Research Papers Malte Ostendorff Till Blume Terry Ruas Bela Gipp Georg Rehm 37 14 0 28 Mar 2022
Automatic Related Work Generation: A Meta Study Xiangci Li Jessica Ouyang 28 10 0 06 Jan 2022
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval Xinliang Frederick Zhang Heming Sun Xiang Yue Simon M. Lin Huan Sun RALM 78 17 0 24 Oct 2020
Aspect-based Document Similarity for Research Papers Malte Ostendorff Terry Ruas Till Blume Bela Gipp Georg Rehm 32 27 0 13 Oct 2020
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments Jie Zhao M. A. Rodriguez Rajkumar Buyya 23 2 0 16 Sep 2020
What Are People Asking About COVID-19? A Question Classification Dataset Jerry W. Wei Chengyu Huang Soroush Vosoughi Jason W. Wei 11 34 0 26 May 2020
Scientific Discourse Tagging for Evidence Extraction Xiangci Li Gully A. Burns Nanyun Peng 33 5 0 10 Sep 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014