66 citations · 117 across the 6 of their papers we have counts for
12 papers
Large Language Models for the Summarization of Czech Documents: From History to the Present
Václav Tran, Jakub Šmíd, 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…
Large Language Models for Summarizing Czech Historical Documents and Beyond
Václav Tran, Jakub Šmíd, Jiří Martínek +2
Text summarization is the task of shortening a larger body of text into a concise version while retaining its essential meaning and key information. While summarization has been si…
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Ladislav Lenc, Daniel Cífka, Jiří Martínek +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…
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc +3
We extend our previous work on Inductive Conformal Prediction (ICP) for multi-label text classification and present a novel approach for addressing the computational inefficiency o…
ICDAR 2021 Competition on Historical Map Segmentation
Joseph Chazalon, Edwin Carlinet, Yizi Chen +9
This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris, France…
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition
Christophe Cerisara, Pavel Kral, Ladislav Lenc
Dialogue act recognition is an important component of a large number of natural language processing pipelines. Many research works have been carried out in this area, but relativel…