96 citations · 212 across the 5 of their papers we have counts for
8 papers
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…
Deep Generalized Max Pooling
Vincent Christlein, Lukas Spranger, Mathias Seuret +3
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in se…
Multi-lingual Dialogue Act Recognition with Deep Learning Methods
Jiří Martínek, Pavel Král, Ladislav Lenc +1
This paper deals with multi-lingual dialogue act (DA) recognition. The proposed approaches are based on deep neural networks and use word2vec embeddings for word representation. Tw…
Czech Text Document Corpus v 2.0
Pavel Král, Ladislav Lenc
This paper introduces "Czech Text Document Corpus v 2.0", a collection of text documents for automatic document classification in Czech language. It is composed of the text documen…