The document discusses finding and summarizing disagreements in texts through natural language processing, argumentation, and text analysis techniques. The goal is to assess information quality and support decision making by identifying contested knowledge in contexts like wikis and biomedical publications. The author is conducting this work as a 1-year postdoctoral researcher at INRIA through an ERCIM Marie Curie fellowship.

1. Finding contested knowledge
Jodi Schneider, INRIA
• Goal: Find & summarize disagreements in texts

2. Finding contested knowledge
Jodi Schneider, INRIA
• Goal: Find & summarize disagreements in texts
• Methods: NLP, Argumentation, Text analysis
• Applications: Assess info quality, Make decisions
• Context: Wikis, Biomedical publications
• Project: 1-year ERCIM Marie Curie postdoc

3. What is contested?
Comparing 2 versions of a document.
When the meaning does not change: the versions « Agree ».
When the meaning changes: the versions « Disagree ».
Finding contested knowledge - Jodi Schneider, INRIA