506 citations · 1.2k across the 55 of their papers we have counts for
5 papers · 2 filters
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews
Xiaoxiao Li, Rabah Al-Zaidy, Amy Zhang +3
Objective: Systematic reviews of scholarly documents often provide complete and exhaustive summaries of literature relevant to a research question. However, well-done systematic re…
Extractive Summarizer for Scholarly Articles
Athar Sefid, Clyde Lee Giles, Prasenjit Mitra
We introduce an extractive method that will summarize long scientific papers. Our model uses presentation slides provided by the authors of the papers as the gold summary standard…
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks
Bharath Kandimalla, Shaurya Rohatgi, Jian Wu +1
Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category informati…
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, Chieh-Yang Huang, Chien-Kuang Cornelia Ding +2
This paper introduces CODA-19, a human-annotated dataset that codes the Background, Purpose, Method, Finding/Contribution, and Other sections of 10,966 English abstracts in the COV…
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Recurrent neural networks (RNNs) are a widely used deep architecture for sequence modeling, generation, and prediction. Despite success in applications such as machine translation…