About the Project

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.

Learn more
Piktogramm Text Mining

Text Mining

State-of-the-art text mining methods add pertinent meaning to unstructured texts.

Piktogramm Deep Learning

Deep Learning

Advanced machine learning techniques ensure high precision in your applications.

Piktogramm Big Data

Big Data

Scalable infrastructures process huge amounts of textual data in record time.

Mac panel with showcase

Argument Search

in Big Data

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.

Launch Demo

CD formal

Latest News

June 10, 2018 ArgumenText presented at TU Darmstadt's day of research (hellwach!)

We will be presenting ArgumenText at the "Wissenschaftstag" hellwach! on Sunday June 10th. The public event at TU Darmstadt's main campus (downtown) is open between 11AM and 5PM.

May 16, 2018 Upcoming contributions at scientific conferences (NAACL, COLING)

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.

May 1, 2018 ArgumenText featured in public broadcasting radio station Deutschlandfunk

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).

Apr 23, 2018 ArgumenText at Hannover Fair 2018 (April 23-27, Hall 2 Stand B25)

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:

http://www.hannovermesse.de/product/argumentext/2573787/N222089

Mar 01, 2018 ArgumenText @ Bitkom AI Summit in Hanau

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:

https://www.bitkom-bigdata.de/

Oct 11, 2017 Talk at Language Technology Summit 2017 in Brussels, Belgium

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.

Want to request a demo?

We'd love to hear from you.