62 citations · 110 across the 5 of their papers we have counts for
5 papers
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
Edwin Zhang, Nikhil Gupta, Raphael Tang +8
We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institut…
Unsupervised Learning of KB Queries in Task-Oriented Dialogs
Dinesh Raghu, Nikhil Gupta, Mausam
Task-oriented dialog (TOD) systems often need to formulate knowledge base (KB) queries corresponding to the user intent and use the query results to generate system responses. Exis…
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Raphael Tang, Rodrigo Nogueira, Edwin Zhang +4
We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Da…
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira +2
We present the Neural Covidex, a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset curated by…
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector
Nikhil Gupta, Dhivya Eswaran, Neil Shah +2
Why is a given node in a time-evolving graph (-graph) marked as an anomaly by an off-the-shelf detection algorithm? Is it because of the number of its outgoing or incoming edges…