Augmented Argumentation
Abstract
Distributed groups of people, both in industry and the military, face a sequence of ad-hocdecisions whose quality has dramatic impa ct on the organization. Increasingly, the discussion and subsequent decisions are made online after multiple rounds of arguments and rebuttals, but tracking these distributed arguments is extremely time consuming and error prone. We propose to build a decision sup port system that augments people, who are discussing complex decisions in unstructured English, and aids a leader in making the ulti mate decision. A central aspect of our solution will comprise natural language processing (NLP) tools to analyze arguments, claims a nd counter claims. These tools will link corresponding arguments and counter arguments from different people (and from the same peop le over time). For evaluation, we propose to first apply our methods to the academic paper review process, using data from OpenRevie w.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 07, 2021
- Source ID
- N000142112707
Entities
People
- Daniel S. Weld
Organizations
- Office of Naval Research
- United States Navy
- University of Washington