DisAI Newsletter: New Papers, Strong Results & Upcoming EMNLP 2025
With the DisAI project entering its final months, we’re proud to share new achievements – from top results at SemEval to fresh perspectives on AI explainability and trustworthiness. Read more about our latest news and insights here.
The DisAI team continues to share research across global conferences, from ACL to CogSci, exploring fairness, creativity, and real-world applications of AI. Catch up on our latest updates and insights here.
The DisAI project is heading towards its last half-year. We bring you updates on the research, as well as a look ahead at the final phase of the project. Read the news here.
Additional scientific publications have been prepared in collaboration with our partners and submitted for review. Curious about the latest updates on the DisAI project? Find out more here.
Are you interested in what new happened within the DisAI project in January? You can read it here. Check it out to find more about our progresses from research groups and shared task “Multilingual and Crosslingual Fact-Checked Claim Retrieval”.
In December we sent a fourth DisAI Newsletter, you can read it here. Check it out to find out more about finishing up our send year of the project, highlights from events, and a report from our Summer School 2024.
In June we sent a third DisAI Newsletter, you can read it here. Check it out to find more about our progress, our results of the Replication project, 3rd DisAI Webinar and our Summer school 2024.
We have just sent our second DisAI Newsletter, you can read the it here. Check it out to find our more about our progress , our replication challenge and a recent publication success.
Multilingual NLP: Overview and Low-Resource Multilingual Processing
The German Research Center for AI (DFKI) recently hosted our second scientific webinar on the topic of Multilingual NLP: Overview and Low-Resource Multilingual Processing.
Dr. Simon Ostermann (Senior Researcher at DFKI) and Cristina España-Bonet (Senior Researcher at DFKI) presented an overview of common approaches and techniques in multilingual and cross-lingual natural language processing. They also focused on low-resource multilingual processing and gave insights into current research conducted at the Multilinguality and Language Technology Lab at DFKI.
Replication Challenge is an exciting opportunity to get in touch with researchers from prominent research institutions and work together on a replication study of a selected work.
The activity is designated for early stage researchers (PhD students, research-oriented master students or other research enthusiasts) and focuses on topics falling within the scope of the DisAI project, namely:
multilingual language technologies
multimodal natural language processing
trustworthy artificial intelligence
while preferably covering (but not limited to) the domain of:
disinformation combating
Each involved participant will be assigned a mentor from the leading partners. Together they will select a scientific paper (related to project topics) and replicate the research described therein. This way, the early-stage researchers will get better acquainted with the state-of-the-art in their field of study and gain practical research experience. The involved participants will have 3 months to replicate the selected research work.
Each researcher will prepare a final report on the achieved results and submit it according to the instructions below (please scroll down for more info about the submission process).
The activity will culminate with a 1-day workshop, where the participants will present the results of their work. In the replication study, the participants and their mentors are encouraged to extend the replicated work with some novel interesting ideas, so their results can be published to the scientific community as well.
To participate in the replication study, please apply according to the instructions below. Approximately 10 early stage researchers will be selected after balancing the interest and mentors capacity.
Mentors and Research Works to Replicate
Note that the list of papers for replication is not exhaustive. You can propose your own paper when applying for the Replication Challenge, which can be considered by the mentors (UPDATED).
Dr. Simon Ostermann Lab Manager, Senior Researcher, Group Lead “Data and Resources”, DFKI:
Fill in this form and indicate your interests. We will contact you with the decision, eventually containing information about mentor and research work assignment.
Results submission
After finalising the replication study, participants are obliged to submit a report summarising the achieved results.
Submit the report by the submission date of the run you are involved in by email to replication@disai.eu using the template.
After submission, be prepared to receive feedback and instructions to provide a camera ready version.
Schedule
October 4th, November 28th – Call for Participation
Run I
October 4th – October 20th – Application and ESR-Mentor Matching
November 2nd – January 31th February 7th – Replication Study Realisation
The participants of the replication challenge will present their findings at the 1-day workshop that will be organised on April 22nd 2024 in Bratislava as an hybrid event.
Schedule (Monday, April 22nd):
10:00-10:15
Welcome Welcome from organisers
10:15-11:15
Rafael Tolosana Calasanz & Andrea Hrčková: Reproducibility in AI (AI4Europe)
11:15-12:15
Lunch
12:15-13.45
Replication Studies: Part I PhD students: Viliam Balara, Róbert Belanec, Ivana Beňová, Ivan Vykopal
13:45-14:15
Coffee Break
14:15-16:15
Replication Studies: Part II Master students: Samuel Revúcky, Matej Jurčák, Marek Kajan, Kristína Sásiková