ACL 2026: Success in an International Narrative Similarity Competition

A system developed by our researcher secured second place in the international SemEval-2026 competition focused on narrative similarity. Its developer, Marcin Sawiński, presented his research at ACL 2026 in San Diego, United States, one of the world’s leading international conferences on natural language processing.

How Can AI Avoid Averaging Out Emotions? A New Sentiment Analysis Method Combining Language Models and Graph Neural Networks

At the ACL 2026 conference in San Diego, USA, researchers from our Department presented their paper entitled “PUEB-DimASR at SemEval-2026 Task 3: Escaping the Mean Regression Trap with Graph-Enhanced Transformers for Dimensional Aspect-Based Sentiment Regression“, prepared as part of the SemEval-2026 workshop. The paper was authored by Oskar Riewe-Perła and Prof. Agata Filipowska.

Reducing the Influence of Content on Syllogistic Reasoning in Large Language Models

During the international ACL 2026 conference in San Diego, USA, Ewelina Księżniak presented research findings on reducing content bias in syllogistic reasoning by large language models. Her poster was based on the paper entitled “Team ewelinaksiez at SemEval-2026 Task 11: Reducing Content Bias in Syllogistic Reasoning via Semantic Abstraction”.

Dr. Włodzimierz Lewoniewski Delivers Invited Talk at Arizona State University

At the invitation of Arizona State University, Dr. Włodzimierz Lewoniewski delivered a talk entitled “Methods and Tools for Automatic Quality Assessment of Wikipedia Articles and Their Information Sources”. The talk focused on the challenges associated with the automatic assessment of information quality in multilingual Wikipedia.

Artificial Intelligence in Sentiment Analysis of Multilingual Wikipedia: Classifiers vs. Large Language Models

An open-access paper by researchers from our Department entitled “Evaluating Multilingual Sentiment Classifiers Using an LLM-Annotated Wikipedia Benchmark” has been published. Authors of the work: Dr. Milena Stróżyna, Dr. Włodzimierz Lewoniewski, Izabela Czumałowska. The paper was presented at ACL 2026 in San Diego, held from July 2 to 7, 2026.

Quantifying Americanization in different language versions of Wikipedia

Scientific article entitled “Quantifying Americanization: Coverage of American Topics in Different Wikipedias” was published in the Social Science Computer Review journal. The work is the first global, quantitative confirmation of issues often raised or assumed in the literature on Americanization and related phenomena.

Colloquium at Tufts University

The beginning of the academic year in the United States coincided with a speech by Dr. Włodzimierz Lewoniewski at Tufts University. The colloquium discussed issues related to the use of artificial intelligence and large open data sets to automate the process of assessing the quality of Wikipedia articles and its information sources in various language versions.

BSCT 2020 – the 3rd Workshop on Blockchain and Smart Contract Technologies

The aim of the workshop is to closely explore emerging challenges and opportunities in the field of blockchain technologies. Moreover, this time the audience attention was especially turned toward issues related to blockchain architectures, new business models as well as innovative applications, use-cases based on distributed ledger environments and standardization initiatives.

QOD 2020 – the 3rd international workshop on Quality of Open Data

The goal of the QOD workshop is to bring together different communities working on quality in Wikipedia, DBpedia, Wikidata, OpenStreetMap, Wikimapia and other open knowledge bases and data sources. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. The third edition of the QOD workshop took place on 9 June 2020 as part of the BIS 2020 conference. The organisers of the QOD … Read More

Best Paper Award at ISWC 2018 Conference

On the 8 to 12 October 2018 in Monterey (CA) the 17th International Semantic Web Conference (ISWC 2018) took place. Szymon Wieczorek, a student collaborating with the Department of Information Systems, partaken in the conference on behalf of our university. During the conference, the article ”Semantic Image-Based Profiling of Users’ Interests with Neural Networks”, whose authors are Szymon Wieczorek, Dominik Filipiak and dr Agata Filipowska, was presented. The article was … Read More