Argument mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language.
In this paper we consider the insights that can be gained by considering large scale argument networks and the complex interactions between their constituent propositions.
These statements are then used to produce a matrix representing the inferential relationship between different aspects of the topic.
no code implementations • 3 Feb 2017 • Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence, Chris Reed
We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research.
Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens.