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2020 – today
- 2025
[j17]Jakub Smíd
, Pavel Král:
Cross-lingual aspect-based sentiment analysis: A survey on tasks, approaches, and challenges. Inf. Fusion 120: 103073 (2025)- [c76]Jakub Smíd, Pavel Pribán, Pavel Král:
Advancing Cross-Lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models. ICAART (2) 2025: 757-766 - [c75]Václav Tran, Jakub Smíd, Jirí Martínek, Ladislav Lenc, Pavel Král:
Large Language Models for Summarizing Czech Historical Documents and Beyond. ICAART (2) 2025: 798-804 - 2024
- [j16]Ladislav Lenc, Jirí Martínek, Josef Baloun, Pavel Pribán, Martin Prantl, Stephen Eugene Taylor, Pavel Král, Jirí Kylis:
Czech medical coding assistant based on transformer networks. Comput. Biol. Medicine 178: 108672 (2024) - [j15]Helena Repová, Jan Zouhar, Pavel Král:
Attractiveness of firms with chatbot as job interviewers: does the interviewer-type matter in the first contact with candidates? Int. J. Commun. Networks Distributed Syst. 30(6): 711-732 (2024) - [c74]Jirí Martínek, Pavel Král, Ladislav Lenc, Josef Baloun:
COMICORDA: Dialogue Act Recognition in Comic Books. LREC/COLING 2024: 3566-3578 - [c73]Jakub Smíd, Pavel Pribán, Ondrej Prazák, Pavel Král:
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks. LREC/COLING 2024: 4299-4310 - [c72]Josef Baloun, Václav Honzík, Ladislav Lenc, Jirí Martínek, Pavel Král:
Heimatkunde: Dataset for Multi-Modal Historical Document Analysis. ICAART (3) 2024: 995-1001 - [c71]Josef Baloun, Jirí Martínek, Ladislav Lenc, Pavel Král, Matej Zeman, Lukás Vlcek:
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis. SemEval@NAACL 2024: 316-325 - [c70]Jakub Smíd, Pavel Pribán, Pavel Král:
LLaMA-Based Models for Aspect-Based Sentiment Analysis. WASSA 2024: 63-70 - [c69]Jakub Smíd, Pavel Pribán, Pavel Král:
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection. WASSA 2024: 483-489 - 2023
- [c68]Pavel Pribán, Josef Baloun, Jirí Martínek, Ladislav Lenc, Martin Prantl, Pavel Král:
Towards Automatic Medical Report Classification in Czech. ICAART (3) 2023: 228-233 - [c67]Josef Baloun, Ladislav Lenc, Pavel Král:
FCN-Boosted Historical Map Segmentation with Little Training Data. ICDAR (1) 2023: 520-533 - [c66]Ladislav Lenc, Josef Baloun, Jirí Martínek, Pavel Král:
Towards Historical Map Analysis Using Deep Learning Techniques. AIAI (1) 2023: 173-185 - [i12]Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc, Jirí Martínek, Pavel Král, Harris Papadopoulos:
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels. CoRR abs/2312.09304 (2023) - 2022
- [j14]Jirí Martínek, Ladislav Lenc, Pavel Král:
Correction to: Building an efficient OCR system for historical documents with little training data. Neural Comput. Appl. 34(1): 813 (2022) - [j13]Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc, Jirí Martínek, Pavel Král, Harris Papadopoulos:
Well-calibrated confidence measures for multi-label text classification with a large number of labels. Pattern Recognit. 122: 108271 (2022) - [c65]Ladislav Lenc, Jirí Martínek, Josef Baloun, Martin Prantl, Pavel Král:
Historical Map Toponym Extraction for Efficient Information Retrieval. DAS 2022: 171-183 - [c64]Ladislav Lenc, Jirí Martínek, Pavel Král:
Text Line Segmentation in Historical Newspapers. ICAISC (2) 2022: 35-48 - [c63]Josef Baloun, Ladislav Lenc, Pavel Král:
Robust Grid Detection in Historical Map Images. ICIP 2022: 1931-1935 - [c62]Jirí Martínek, Christophe Cerisara, Pavel Král, Ladislav Lenc, Josef Baloun:
Weak supervision for Question Type Detection with large language models. INTERSPEECH 2022: 3283-3287 - [c61]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. TSD 2022: 125-137 - [i11]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. CoRR abs/2209.07244 (2022) - 2021
- [j12]Dalibor Fiala, Pavel Král, Martin Dostál:
Are Papers Asking Questions Cited More Frequently in Computer Science? Comput. 10(8): 96 (2021) - [j11]Ladislav Lenc, Jirí Martínek, Pavel Král, Anguelos Nicolaou, Vincent Christlein:
HDPA: historical document processing and analysis framework. Evol. Syst. 12(1): 177-190 (2021) - [c60]Josef Baloun, Pavel Král, Ladislav Lenc:
How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks? ICAART (Revised Selected Papers) 2021: 181-196 - [c59]Josef Baloun, Pavel Král, Ladislav Lenc:
ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles. ICAART (2) 2021: 314-322 - [c58]Ladislav Lenc, Martin Prantl, Jirí Martínek, Pavel Král:
Border Detection for Seamless Connection of Historical Cadastral Maps. ICDAR Workshops (1) 2021: 43-58 - [c57]Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král:
ICDAR 2021 Competition on Historical Map Segmentation. ICDAR (4) 2021: 693-707 - [c56]Jirí Martínek, Pavel Král, Ladislav Lenc:
Dialogue Act Recognition Using Visual Information. ICDAR (2) 2021: 793-807 - [c55]Jirí Martínek, Christophe Cerisara, Pavel Král, Ladislav Lenc:
Cross-Lingual Approaches for Task-Specific Dialogue Act Recognition. AIAI 2021: 232-242 - [c54]Tomás Hercig, Pavel Král:
Evaluation Datasets for Cross-lingual Semantic Textual Similarity. RANLP 2021: 524-529 - [c53]Helena Hubková, Pavel Král:
Transfer Learning for Czech Historical Named Entity Recognition. RANLP 2021: 576-582 - [i10]Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král:
ICDAR 2021 Competition on Historical Map Segmentation. CoRR abs/2105.13265 (2021) - 2020
- [j10]Jirí Martínek, Ladislav Lenc, Pavel Král:
Building an efficient OCR system for historical documents with little training data. Neural Comput. Appl. 32(23): 17209-17227 (2020) - [c52]Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jirí Martínek, Barbara Wiermann, Tobias Schwinger, Andreas K. Maier, Vincent Christlein:
Re-Ranking for Writer Identification and Writer Retrieval. DAS 2020: 572-586 - [c51]Ladislav Lenc, Pavel Král:
Improving Face Recognition Methods based on POEM Features. ICAART (2) 2020: 538-545 - [c50]Helena Hubková, Pavel Král, Eva Pettersson:
Czech Historical Named Entity Corpus v 1.0. LREC 2020: 4458-4465 - [i9]Jirí Martínek, Christophe Cerisara, Pavel Král, Ladislav Lenc:
Cross-lingual Transfer Learning for Dialogue Act Recognition. CoRR abs/2005.09260 (2020) - [i8]Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jirí Martínek, Barbara Wiermann, Tobias Schwinger, Andreas K. Maier, Vincent Christlein:
Re-ranking for Writer Identification and Writer Retrieval. CoRR abs/2007.07101 (2020) - [i7]Christophe Cerisara, Pavel Král, Ladislav Lenc:
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition. CoRR abs/2010.11490 (2020)
2010 – 2019
- 2019
- [j9]Charalambos Eliades, Ladislav Lenc, Pavel Král, Harris Papadopoulos:
Automatic face recognition with well-calibrated confidence measures. Mach. Learn. 108(3): 511-534 (2019) - [c49]Andreas Paisios, Ladislav Lenc, Jirí Martínek, Pavel Král, Harris Papadopoulos:
A Deep Neural Network Conformal Predictor for Multi-label Text Classification. COPA 2019: 228-245 - [c48]Pavel Král, Antonín Vrba, Ladislav Lenc:
Enhanced Local Binary Patterns for Automatic Face Recognition. ICAISC (2) 2019: 27-36 - [c47]Pavel Král, Ladislav Lenc:
Novel Texture Descriptor Family for Face Recognition. ICAISC (2) 2019: 37-47 - [c46]Jirí Martínek, Ladislav Lenc, Pavel Král, Anguelos Nicolaou, Vincent Christlein:
Hybrid Training Data for Historical Text OCR. ICDAR 2019: 565-570 - [c45]Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. ICDAR 2019: 1090-1096 - [c44]Ladislav Lenc, Jirí Martínek, Pavel Král:
Tools for Semi-automatic Preparation of Training Data for OCR. AIAI 2019: 351-361 - [c43]Jirí Martínek, Ladislav Lenc, Pavel Král:
Training Strategies for OCR Systems for Historical Documents. AIAI 2019: 362-373 - [c42]Jirí Martínek, Pavel Král, Ladislav Lenc, Christophe Cerisara:
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods. INTERSPEECH 2019: 1463-1467 - [i6]Jirí Martínek, Pavel Král, Ladislav Lenc, Christophe Cerisara:
Multi-lingual Dialogue Act Recognition with Deep Learning Methods. CoRR abs/1904.05606 (2019) - [i5]Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. CoRR abs/1908.05040 (2019) - 2018
- [j8]Christophe Cerisara, Pavel Král, Ladislav Lenc:
On the effects of using word2vec representations in neural networks for dialogue act recognition. Comput. Speech Lang. 47: 175-193 (2018) - [j7]Tomás Hercig, Peter Krejzl, Pavel Král:
Stance and Sentiment in Czech. Computación y Sistemas 22(3) (2018) - [c41]Jirí Martínek, Pavel Král:
Error Correction for Information Retrieval of Czech Documents. ICAART (2) 2018: 630-634 - [c40]Jirí Martínek, Ladislav Lenc, Pavel Král:
Neural Networks for Multi-lingual Multi-label Document Classification. ICANN (1) 2018: 73-83 - [c39]Jirí Martínek, Ladislav Lenc, Pavel Král:
Semantic Space Transformations for Cross-Lingual Document Classification. ICANN (1) 2018: 608-616 - [c38]Pavel Král, Ladislav Lenc:
Czech Text Document Corpus v 2.0. LREC 2018 - 2017
- [c37]Tomás Brychcín, Pavel Král:
Unsupervised Dialogue Act Induction using Gaussian Mixtures. EACL (2) 2017: 485-490 - [c36]Václav Rajtmajer, Pavel Král:
Data Harvesting and Event Detection from Czech Twitter. ICAART (Revised Selected Papers) 2017: 102-115 - [c35]Pavel Král, Václav Rajtmajer:
Real-Time Data Harvesting Method for Czech Twitter. ICAART (2) 2017: 259-265 - [c34]Ladislav Lenc, Pavel Král:
Two-Level Neural Network for Multi-label Document Classification. ICANN (2) 2017: 368-375 - [c33]Ladislav Lenc, Pavel Král:
Ensemble of Neural Networks for Multi-label Document Classification. ITAT 2017: 186-192 - [c32]Ladislav Lenc, Pavel Král:
Combination of Neural Networks for Multi-label Document Classification. NLDB 2017: 278-282 - [c31]Ladislav Lenc, Pavel Král:
Word Embeddings for Multi-label Document Classification. RANLP 2017: 431-437 - [i4]Ladislav Lenc, Pavel Král:
Deep Neural Networks for Czech Multi-label Document Classification. CoRR abs/1701.03849 (2017) - [i3]Pavel Král, Antonín Vrba:
Enhanced Local Binary Patterns for Automatic Face Recognition. CoRR abs/1702.03349 (2017) - [i2]Pavel Král, Ladislav Lenc:
Czech Text Document Corpus v 2.0. CoRR abs/1710.02365 (2017) - 2016
- [j6]Ladislav Lenc, Pavel Král:
Local binary pattern based face recognition with automatically detected fiducial points. Integr. Comput. Aided Eng. 23(2): 129-139 (2016) - [j5]Václav Rajtmajer, Pavel Král:
Event Detection in Czech Twitter. Res. Comput. Sci. 110: 85-94 (2016) - [c30]Ladislav Lenc, Pavel Král:
Deep Neural Networks for Czech Multi-label Document Classification. CICLing (2) 2016: 460-471 - [c29]Pavel Král, Ladislav Lenc:
LBP features for breast cancer detection. ICIP 2016: 2643-2647 - [c28]Ladislav Lenc, Pavel Král, Václav Rajtmajer:
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination. SemEval@NAACL-HLT 2016: 481-485 - [e2]Pavel Král, Carlos Martín-Vide:
Statistical Language and Speech Processing - 4th International Conference, SLSP 2016, Pilsen, Czech Republic, October 11-12, 2016, Proceedings. Lecture Notes in Computer Science 9918, 2016, ISBN 978-3-319-45924-0 [contents] - [i1]Tomás Brychcín, Pavel Král:
Unsupervised Dialogue Act Induction using Gaussian Mixtures. CoRR abs/1612.06572 (2016) - 2015
- [j4]Ladislav Lenc, Pavel Král:
Automatic face recognition system based on the SIFT features. Comput. Electr. Eng. 46: 256-272 (2015) - [c27]Pavel Král, Ladislav Lenc:
Confidence Measure for Czech Document Classification. CICLing (2) 2015: 525-534 - [c26]Ladislav Lenc, Pavel Král:
SAPKOS: Experimental Czech Multi-label Document Classification and Analysis System. AIAI 2015: 337-350 - [c25]Ladislav Lenc, Pavel Král:
Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions. MICAI (2) 2015: 349-361 - [c24]Ladislav Lenc, Pavel Král:
Feature to Feature Matching for LBP Based Face Recognition. MICAI (2) 2015: 371-381 - [c23]Pavel Král, Ladislav Lenc, Christophe Cerisara:
Semantic Features for Dialogue Act Recognition. SLSP 2015: 153-163 - [e1]Pavel Král, Václav Matousek:
Text, Speech, and Dialogue - 18th International Conference, TSD 2015, Pilsen,Czech Republic, September 14-17, 2015, Proceedings. Lecture Notes in Computer Science 9302, Springer 2015, ISBN 978-3-319-24032-9 [contents] - 2014
- [j3]Pavel Král, Christophe Cerisara:
Automatic dialogue act recognition with syntactic features. Lang. Resour. Evaluation 48(3): 419-441 (2014) - [c22]Pavel Král:
Named Entities as New Features for Czech Document Classification. CICLing (2) 2014: 417-427 - [c21]Pavel Král, Ladislav Lenc:
A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment. ICAART (1) 2014: 230-237 - [c20]Pavel Král, Ladislav Lenc:
Confidence Measure for Experimental Automatic Face Recognition System. ICAART (Revised Selected Papers) 2014: 362-378 - [c19]Ladislav Lenc, Pavel Král:
Automatically Detected Feature Positions for LBP Based Face Recognition. AIAI 2014: 246-255 - [c18]Tomás Brychcín, Pavel Král:
Novel Unsupervised Features for Czech Multi-label Document Classification. MICAI (1) 2014: 70-79 - [c17]Ladislav Lenc, Pavel Král:
Two-step supervised confidence measure for automatic face recognition. MLSP 2014: 1-6 - 2013
- [c16]Michal Hrala, Pavel Král:
Evaluation of the Document Classification Approaches. CORES 2013: 877-885 - [c15]Ladislav Lenc, Pavel Král:
Face Recognition under Real-world Conditions. ICAART (2) 2013: 250-256 - [c14]Ladislav Lenc, Pavel Král:
Automatic Face Corpus Creation. ICAART (2) 2013: 582-586 - [c13]Ladislav Lenc, Pavel Král:
A combined SIFT/SURF descriptor for automatic face recognition. ICMV 2013: 90672C - [c12]Christophe Cerisara, Alejandra Lorenzo, Pavel Král:
Weakly supervised parsing with rules. INTERSPEECH 2013: 2192-2196 - [c11]Michal Hrala, Pavel Král:
Multi-label Document Classification in Czech. TSD 2013: 343-351 - 2012
- [c10]Ladislav Lenc, Pavel Král:
Novel Matching Methods for Automatic Face Recognition Using SIFT. AIAI (1) 2012: 254-263 - 2011
- [c9]Ladislav Lenc, Pavel Král:
Confidence Measure for Automatic Face Recognition. KDIR 2011: 365-368 - [c8]Pavel Král:
Features for Named Entity Recognition in Czech Language. KEOD 2011: 437-441 - [c7]Ladislav Lenc, Pavel Král:
Automatic Face Recognition - Methods Improvement and Evaluation. ICAART (1) 2011: 604-608 - [c6]Christophe Cerisara, Pavel Král, Claire Gardent:
Commas Recovery with Syntactic Features in French and in Czech. INTERSPEECH 2011: 1413-1416 - 2010
- [j2]Pavel Král, Christophe Cerisara:
Dialogue Act Recognition Approaches. Comput. Informatics 29(2): 227-250 (2010) - [c5]Pavel Král, Václav Matousek:
Evaluation of Automatic Speaker Recognition Approaches. ESSV 2010: 228-233 - [c4]Pavel Král, Christophe Cerisara:
Automatic Dialog Act Corpus Creation from Web Pages. ICEIS (5) 2010: 198-203
2000 – 2009
- 2007
- [b1]Pavel Král:
Automatic Recognition of Dialogue Acts. (Reconnaissance automatique des actes de dialogue). Henri Poincaré University, Nancy, France, 2007 - [j1]Pavel Král, Christophe Cerisara, Jana Klecková:
Lexical Structure for Dialogue Act Recognition. J. Multim. 2(3): 1-8 (2007) - [c3]Pavel Král, Christophe Cerisara, Jana Klecková:
Confidence Measures for Semi-Automatic Labeling of Dialog Acts. ICASSP (4) 2007: 153-156 - 2006
- [c2]Pavel Král, Christophe Cerisara, Jana Klecková:
Automatic Dialog Acts Recognition Based on Sentence Structure. ICASSP (1) 2006: 61-64 - 2005
- [c1]Pavel Král, Christophe Cerisara, Jana Klecková:
Combination of classifiers for automatic recognition of dialog acts. INTERSPEECH 2005: 825-828
Coauthor Index
[c75] [j16] [c74] [c72] [c71] [c68] [c67] [c66] [i12] [j14] [j13] [c65] [c64] [c63] [c62] [j11] [c60] [c59] [c58] [c57] [c56] [c55] [i10] [j10] [c52] [c51] [i9] [i8] [i7] [j9] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [i6] [j8] [c40] [c39] [c38] [c34] [c33] [c32] [c31] [i4] [i2] [j6] [c30] [c29] [c28] [j4] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [c17] [c15] [c14] [c13] [c10] [c9] [c7]
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