EMNLP 2017 Outstanding Paper

Our paper on Topic-Based Agreement and Disagreement in US Electoral Manifestos, coauthored with the DH Group at FBK Trento was selected as an Outstanding Paper at EMNLP 2017, one of the premier conferences in the field of NLP. 

The paper presents a topic-based analysis of agreement and disagreement in US political manifestos, which relies on a new method for topic detection based on key concept clustering. Data and software can be found here.