This work presents PerspectroScope, a web-based system which lets users query a discussion-worthy natural language claim, and extract and visualize various perspectives in support or against the claim, along with evidence supporting each perspective. The system thus lets users explore various perspectives that could touch upon aspects of the issue at hand.The system is built as a combination of retrieval engines and learned textual-entailment-like classifiers built using a few recent developments in natural language understanding. To make the system more adaptive, expand its coverage, and improve its decisions over time, our platform employs various mechanisms to get corrections from the users. PerspectroScope is available at github.com/CogComp/perspectroscope.
@article{arxiv.1906.04761,
title = {PerspectroScope: A Window to the World of Diverse Perspectives},
author = {Sihao Chen and Daniel Khashabi and Chris Callison-Burch and Dan Roth},
journal= {arXiv preprint arXiv:1906.04761},
year = {2019}
}