The scientific article of our Department’s employees entitled “Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims” has been published in open access. The paper describes an approach to assigning topics to claims verified by fact-checking agencies.
Tag: Marcin Sawiński
New head of the Department of Information Systems
On October 4, 2024, a meeting of the staff of the Department of Information Systems at the Poznań University of Economics and Business took place. The meeting was led by Prof. Krzysztof Węcel, the new head of the Department, who was appointed to this position on October 1, 2024. The meeting was dedicated to presenting and discussing the Department’s strategy for the upcoming academic year in connection with the new … Read More
Presentations at the KES 2024 conference
During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Dr. Włodzimierz Lewoniewski presented a paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and a paper entitled “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.
OpenFact at CLEF 2024
On September 9-12, 2024, scientists from the Department of Information Systems presented their works at the CLEF 2024 conference, which took place in Grenoble (France). This was the 25th edition of the CLEF (Conference and Labs of the Evaluation Forum), a key event in the field of information and language technologies, focusing on the evaluation of information systems. Thanks to a variety of test tasks, participants can compare and improve … Read More
Continued achievements in the global information verification competition
In 2024, scientists from the Department of Information Systems participated for the second time in the CheckThat! competition, part of the international CLEF conference, focused on identifying check-worthy texts. Leveraging transformer-based language models and cross-linguistic transfer learning techniques, the team secured two second-place rankings for English and Arabic submissions.
Combining multiple attack methods for effective adversarial text generation
An article by our scientists entitled “OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation” has been published in open access. The paper describes the approach that won first place in an international competition in the area of information credibility.
Participation in an international competition in the area of analysis of multi-author writing style
Scientists from the Department of Information Systems took part in an international competition for the analysis of multi-author writing style – PAN 2024. PAN is a series of scientific events related to stylometric analysis and forensic linguistics, organized during the CLEF 2024 conference. The competition task was to detect places where the author changes in a text written by several authors.
First place in an international competition in the field of information credibility
A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.
OpenFact is again the most effective in detecting fake news
The National Center for Research and Development has completed the evaluation of the results of the second phase of the INFOSTRATEG program. The evaluation included the results achieved by three competing teams whose task is to develop solutions for detecting fake news using artificial intelligence.
Presentation at the CLEF 2023 conference
Members of our department, Ewelina Księżniak and Marcin Sawiński, took part in the 14th edition of the international CLEF conference, which is devoted to natural language processing and information retrieval. During this event, our scientists presented a method for detecting check-worthy claims, which achieved the best result in a competition organized by one of the workshops – CheckThat!Lab. The workshop and competition is devoted to detecting fake news using artificial … Read More