7 papers
Large Language Models for Citation Function Classification
Daniel VodiÄka, Jakub Å mÃd, Pavel Král +1
Citation function classification plays a crucial role in understanding the relationships between scientific publications and advancing bibliometric analysis. This study presents on…
Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks
Jakub Å mÃd, Pavel PÅibáÅ, Pavel Král
This paper introduces a novel Czech dataset in the restaurant domain for aspect-based sentiment analysis (ABSA), enriched with annotations of opinion terms. The dataset supports th…
Large Language Models for the Summarization of Czech Documents: From History to the Present
Václav Tran, Jakub Å mÃd, Ladislav Lenc +2
Text summarization is the task of automatically condensing longer texts into shorter, coherent summaries while preserving the original meaning and key information. Although this ta…
Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
Jakub Å mÃd, Pavel PÅibáÅ, Pavel Král
While aspect-based sentiment analysis (ABSA) has made substantial progress, challenges remain for low-resource languages, which are often overlooked in favour of English. Current c…
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Ladislav Lenc, Daniel CÃfka, JiÅÃ MartÃnek +2
This paper presents a zero-shot system for fact-checked claim retrieval. We employed several state-of-the-art large language models to obtain text embeddings. The models were then…
Few-shot Cross-lingual Aspect-Based Sentiment Analysis with Sequence-to-Sequence Models
Jakub Å mÃd, Pavel PÅibáÅ, Pavel Král
Aspect-based sentiment analysis (ABSA) has received substantial attention in English, yet challenges remain for low-resource languages due to the scarcity of labelled data. Current…