Organizations have access to huge amounts of text data but harnessing its business potential is still a major challenge. ArgumenText offers the solutions. We use Text Mining, Deep Learning and Big Data Analytics to unleash the potential of unstructured data and to integrate unused assets into decision-making processes.
Our technology allows searching large document collections for arguments. In response to a user-defined topic, neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary. Decision-relevant information can be found much faster and complex decision-making processes can be significantly improved by exploiting the potential of large text collections. Applied to text streams like news streams or social media, latest trends and innovations can be discovered with ease.
Several short and long papers with contributions from ArgumenText have been accepted at the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) in New Orleans and the 27th International Conference on Computational Linguistics (COLING) in Santa Fe, both USA. At NAACL, we'll be presenting our latest work on multi-task learning for Argument Mining and a system description of our argument search engine, at COLING we'll show how to leverage language adaptation techniques for multi-lingual Argumentation Mining.
The German public broadcasting radio station Deutschlandfunk held an interview with ArgumenText's Johannes Daxenberger at Hannover Fair. You can listen to the program as part of the "Campus & Karriere" show here (the interview starts at min. 22, in German).
HANNOVER MESSE (Hanover Fair) is one of the world's largest trade fairs. ArgumenText will be presenting our latest demo, research insights and use cases. You will find us in Hall 2, Stand 25 at the joint exposition area of Hessian research institutions - we would be very happy to meet you there. More details here:
On March 1st, Christian Stab presented ArgumenText at the Bitkom AI Summit 2018 in Hanau. In his talk, he showed how ArgumenText can be used to assess the latest innovations and technologies by mining supporting and opposing arguments from the Web. In this context, he also introduced our latest argument search demonstrator, which provides a new paradigm to search large document collections for valuable information. Further information about his talk can be found at:
On October 11, Christian Stab presented our project to an international audience at the Language Technology Summit 2017 in Brussels. His talk, "Improving Decision Making with Argument Mining", presented our latest research results on how decision-making processes can be supported with Deep Learning.
On October 11, Johannes Daxenberger gave an invited 90-minutes talk at the Innovation Summit of Alexander Thamm GmbH in Munich (non-public event). He gave an introduction to text classification and deep learning for language technology, followed by an overview of the latest research results in argumentation mining and a project summary of ArgumenText, including demo session.