summetix won the Company Battle at Gründermesse Aschaffenburg. The event is hosted by Digitales Gründerzentrum Aschaffenburg. They are organizing the event in cooperation with the TH Aschaffenburg in order to strengthen innovation, digitalization and general start-up qualification in the Bavarian Lower Main region.
Creative Destruction Lab is a nonprofit organization that delivers an objectives-based program for massively scalable, seed-stage, science- and technology-based companies. During the program, our founders will exchange ideas with peers from other AI startups and high-profile mentors from across the globe.
On the 1st of June, we are going to participate in Hinterland of Things, a German Startup conference and exhibition. Visit us at our booth to connect with the team and learn more about our product!
We are looking forward to the coming months of collaboration with PwC Scale. The renown program offers exciting insight sessions and masterclasses.
We are one of the winners in the 13th round of the #StartZuschuss program of the Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie. The program funds early stage startups from Bavaria with up to 36,000€.
We're honored to be included in Germany's Top 50 Startups from around 850 startups in total. summetix ranks 2nd in the category "AI and IoT" and 24th overall. The ranking is determined by analyzing all 170 German startup competitions.
We are among the 6 awardees of the "Gründungspreis+" in this year's Startup competition of the German Federal Ministry for Economic Affairs and Energy! The jury highlighted the innovation and outstanding service offer of our approach, in combination with substantial saving potential for our customers. You can read more about the competition here.
We have been selected for the highly competitive 6-week accelerator program by EY Startup Academy! Looking forward to another great opportunity to learn and accelerate our growth!
We will be giving a talk at the 5th Hessischer Innovationskongress. The talk will happen as part of the "Hessens BEST" Stream on September 2nd at 15:35. We'll also be available virtually at the event.
We've added new publications accepted at NAACL 2021, SIGDIAL 2021 and a journal paper accepted by the "KI - Künstliche Intelligenz" journal. The paper "From Argument Search to Argumentive Dialogue: A Topic-Independent Approach to Argument Acquisition for Dialogue Systems", co-authored by Johannes Daxenberger won the Best Paper award at SIGDIAL conference!
We will be presenting our latest developments and show cases at two virtual events in the next weeks: at konaktiva:digital (we will be available at the event on May 20th) and TU Darmstadt's Start-up & Innovation Day 2021 (June 10th). We would be happy to meet you personally at one of the online events.
Zühlke and Wirtschaftsinitiative FrankfurtRheinMain have setup the startup mentoring program "Boozt your Business" and we were happy to be chosen as on of the participating startups in the latest round of the program. Together with experts from Zühlke, we are refining our business model and eliminating technological road blockers.
The "Arguments for the Social Good" Project has been presented at the AAAI Fall Symposium 2020 ("AI for Social Good"). It highlights an overview of the system and an expert-driven evaluation on topics around the Covid-19 pandemic.
We are glad to announce that after more than three years of funding in the VIP+ validation program, ArgumenText has been successful in applying for a grant in the EXIST program of the German Federal Ministry for Economic Affairs and Energy. This line of funding will allow us to fully concentrate on building a spin-of company.
ArgumenText technology is used to power a novel demonstrator, available at asg.ukp.informatik.tu-darmstadt.de. The search engine identifies arguments related to COVID-19 (and potentially other topics) from the last three months in real-time, i.e. up to now. It also shows a graph which highlights the trend in terms of pro and con arguments.
ArgumenText's Dr. Johannes Daxenberger gave an interview for the German broadcasting station SWR, in which he spoke about detecting arguments in times of crisis. The podcast is about the "Arguments as the Social Good" project which is part of the novel research alliance "Content Analytics for the Social Good" (CASG). Listen to the podcast (in German) here.
HANNOVER MESSE (Hanover Fair) is one of the world's largest trade fairs. ArgumenText planned to present our latest demo, research insights and use cases again this year. Due to the ongoing crisis around Covid-19, the fair was cancelled for 2020. More details here: Hannover Messe.
ArgumenText contributes with "Fine-Grained Argument Unit Recognition and Classification" to the 34th AAAI Conference on Artificial Intelligence, taking place in New York, USA and with "Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems" to the 12th Proceedings of LREC Language Resources and Evaluation Conference in Marseille, France. Read the papers here (AAAI) and here (LREC).
We will present ArgumenText at the Startup & Innovation Day in Darmstadt, organized by HIGHEST/TU Darmstadt on December 12th. The event is in its fourth year already and connects players from industry, politics and research.
ArgumenText's Prof. Iryna Gurevych was invited to the Centre for the Study of Manuscript Cultures (CSMC) at the University of Hamburg to speak on "Connecting the Dots: NLP support for Analyzing Arguments, Evidence and Translations in the Humanities" within the scope of the workshop "Data Linking for Humanities".
On several occasions throughout September and October, ArgumenText's Prof. Iryna Gurevych had the opportunity to widen the understanding and application of Argument Mining internationally by giving several cooperative talks on "Claim Validation by Humans and Machines" as well as "ArgumenText: Better Decision-Making with Argument Mining".
On September 3rd, she followed the invitation of Prof. Junichi Tsujii, the director of the Artificial Intelligence Research Center (AIRC) in Tokyo. She also cooperated with the Tohoku University in Seindai and its Natural Language Processing Lab (Inui-Suzuki Lab) during September 24th and 25th, as well as the Graduate School of Information Science and Technology on the 27th, located at the University of Tokyo. On October 1st, she gave a keynote speech regarding "Argument Mining (and its Applications in a Multimodal Dialogue System)" at Shonan Seminar #163, held by the prestigious National Institute of Informatics (NII). More details available at Spoken Multimodal Dialogue Systems Technology for Pervasive Computing.
The ArgumenText search engine has been updated! With a new algorithm to extract arguments, our search engine will be even more powerful in helping you with better decision making. You can access the updated model with our new dashboard, which enables personalized interaction and visualization. Contact us at email@example.com for more information.
ArgumenText contributes with "Classification and Clustering of Arguments with Contextualized Word Embeddings" to the 57th Annual Meeting of the Association for Computational Linguistics, taking place in Florence, Italy. Read the paper here.
The overhauled version of our argument search engine is now live. It will allow you to better navigate your search results by enabling filters, sorting lists and making the sources of your results more accessible. Experience a modernised look, an intuitive design and better performance by accessing the demo here.
The ArgumenText project followed the invitation to the BMBF's innovation congress VIP+, which took place on March 26th in Berlin. ArgumenText was one of the projects presenting their work as part of the exhibition. VIP+ enables the innovative potential of scientific research, closing the gap between academia and its potential implementation in the marketplace.
More details here (in German only).
Making intelligent decisions - ArgumenText uses the Internet’s wealth of argumentative knowledge to help in the balanced search for arguments. The diverse media coverage of the TU Darmstadt project reflects the considerable interest in and potential of this innovative access to knowledge.
The ArgumenText validation project, which is being developed at the Ubiquitous Knowledge Processing (UKP) department of the TU Darmstadt, provides methods for integrating previously unused knowledge into decision-making processes. It enables its users to filter out concrete pro and con arguments from the vast data pool of the Internet for any topic in German and English, especially for controversial ones in which strong arguments are used. ArgumenText presents an intuitive, clear summary of the pro and cont arguments for the topics and additionally links the sources from which the arguments originate. This ensures that the results remain transparent and that arguments can be traced back to the original text. The validation project particularly aims to assess the economic and social impact and future exploitation of the technology.
The resulting potentials for utilization are also of increasing importance for the interdisciplinary application in the field of digital humanities. In order to harness this profitably, the team is collaborating with the Department of Social and Historical Sciences at the TU Darmstadt on the Kritis project, for example.
The project has already been received very positively in national and international media thanks to its potential for various areas of application. The news portal IDW (Informationsdienst Wissenschaft) reports on the opportunities that ArgumenText offers for decision-makers in business who have to weigh up whether it is worth entering into an innovation (Staub, idw 2018). According to the c't (Magazin für Computertechnik), ArgumenText can automate key activities of decision-makers in business and support them in evaluating innovations (Grävemeyer, c't 2018).
In other areas, too, the application can make processes easier and more efficient. Phys.org highlights how journalists can benefit from automatic argument search when they need to get to grips with a topic quickly and thoroughly (Phys.org, 2018). The project is constantly changing and further features are planned. As the Austrian industry magazine FACTORY also points out, a real-time search as well as an aggregated presentation, i.e. according to topics, will soon be possible (Weber, FACTORY 2018). In addition to these reports, ArgumenText was also made available to a wider audience at the Hannover Fair 2018, among other events. Visitors had the opportunity to try out the demo version and ask questions about the tool. A corresponding report can be found in the campus newspaper of the TU Darmstadt hoch3 (Paradowski, hoch3 2018).
ArgumenText project offers many social and scientific opportunities. The ArgumenText team is looking forward to the valuable feedback of active users to further improve the application. A demo version of ArgumenText can be tested on the project's website.
For a deeper insight into the project - its background and technical basics- the following publications are recommended:
Stahlhut, C. (2018) Searching Arguments in German with ArgumenText. Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, Volume 2167
Stab, C., Daxenberger, J., Stahlhut, C., Miller, T., Schiller, B., Tauchmann, C., Eger, S. and Gurevych, I. (2018) ArgumenText: Searching for Arguments in Heterogeneous Sources. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations. p. 21-25
● Phys.org (2018) Searching through noise for pros and cons.
● Weber, R. (2018) ArgumenText: Das „neue Google“ für Ingenieure?
● Staub, C. (2018) TU Darmstadt entwickelt Argumentsuche für Internet-Texte.
● Paradowski, S. (2018) Pro und Kontra aus dem Rauschen.
● Grävemeyer, A. (2018) Suchmaschine der Argumente.
● Witte, J. (2016) System filters the arguments in texts and checks their quality.
In December, ArgumenText's Johannes Daxenberger joined a company mission to San Francisco organised by Hessen Trade & Invest (HTAI). ArgumenText extracts pro and con arguments from Big Data (e.g. websites) through Deep Learning. The technology enables innovation assessment and trend recognition in various sectors. Various startups and transfer-oriented research projects from Hesse participated in the delegation. Getting to know the American market, especially the tech scene in Silicon Valley, was the top priority for the delegetaion. The agenda included visits to big and smaller tech companies in and around San Francisco (LinkedIn and SAP, among others), pitch meetings, networking events and a visit to the Stanford University. The American market – and in particular, Silicon Valley – is an important opportunity for German startups and tech companies, not just because of the higher amount of venture capital. ArgumenText aims to establish contact with the American market but also to get to know innovative business models in the software sector.
ArgumenText's Iryna Gurevych spoke on "Natural Language Processing for Automated Fact-Checking" at the Fake News and Other AI Challenges Conference in Vienna on November 30th. More details at Language Intelligence. In another invited talk, Iryna spoke about "Let's Debate: Natural Language Processing at a Large Scale" at Novartis in Basel on November 26th.
We will present ArgumenText at the 2nd Hessian Innovation Congress in Frankfurt on Thursday November 15th. Looking forward to see you there.
We will present ArgumenText at the Startup & Innovation Day in Darmstadt, organized by HIGHEST/TU Darmstadt on October 22nd. The event is in its third year already and connects players from industry, politics and research.
ArgumenText's Iryna Gurevych gave Invited Lectures on "Cross-Topic Argument Mining" in July 2018 at the School of Computing and Information Systems at University of Melbourne, as well as at the School of Information Technology and Electrical Engineering at University of Queensland, both Australia. In August 2018, she gave another talk about "Cross-Topic Argument Mining" at the Machine Learning Group at the University of Waikato, New Zealand.
On June 12th, ArgumenText's Iryna Gurevych gave a keynote speech on "Disentangling the Thoughts: Latest News in Computational Argumentation" at the 3rd Swiss Text Analytics Conference (SwissText 2018) in Winterthur, Switzerland. SwissText is a major yearly NLP event in Switzerland, aiming to bring together practitioners and researchers from the domain of text analytics.
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.
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.
On September 10, Johannes Daxenberger and co-authors presented latest research finding about detecting claims (statements that should be supported with reasons) at the annual Conference on Empirical Methods in Natural Language Processing. Our goal in this work was to find and learn about claims in different textual domains including online discourse, legal text, and student essays. The extensive experiments carried out in this research showed that simple lexical clues are most helpful to detect claims across domains. The paper can be found here:
On September 10, our colleague Andreas Rücklé presented our latest work on detecting complex argumentative structures at the main event of the Natural Language Processing research community, the annual meeting of the Association for Computational Linguistics (ACL). We showed that an end-to-end approach (a deep learning system which models several tasks jointly) on detecting arguments in student essays has superior performance as compared to non-neural pipeline approaches. We also showed that modeling argument mining as a sequence tagging problem achieves state-of-the-art performance on this task. The paper can be found here: