Publication
Common Round: Application of Language Technologies to Large-Scale Web Debates
Hans Uszkoreit; Aleksandra Gabryszak; Leonhard Hennig; Jörg Steffen; Renlong Ai; Stephan Busemann; Jon Dehdari; Josef van Genabith; Georg Heigold; Nils Rethmeier; Raphael Rubino; Sven Schmeier; Philippe Thomas; He Wang; Feiyu Xu
In: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2017), April 3-7, Valencia, Spain, Pages 5-8, Association for Computational Linguistics, 4/2017.
Abstract
Web debates play an important role in enabling broad participation of constituencies in social, political and economic decision-taking. However, it is challenging to organize, structure, and navigate a vast number of diverse argumentations and comments collected from many participants over a long time period. In this paper we demonstrate Common Round, a next generation platform for large-scale web debates, which provides functions for eliciting the semantic content and structures from the contributions of participants. In particular, Common Round applies language technologies for the extraction of semantic essence from textual input, aggregation of the formulated opinions and arguments. The platform also provides a cross-lingual access to debates using machine translation.
Projekte
ALL-SIDES - ALL-SIDES: Advanced Large-Scale Language Analysis for Social Intelligence Deliberation Support,
QT21 - QT21: Quality Translation 21,
SD4M - Smart Data For Mobility,
SDW - Smart Data Web
QT21 - QT21: Quality Translation 21,
SD4M - Smart Data For Mobility,
SDW - Smart Data Web