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ORCIDJurgita Kapociute-Dzikiene
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2020 – today
- 2024
[c33]Daiga Deksne
, Jurgita Kapociute-Dzikiene, Raivis Skadins:
Toward Federated Learning Through Intent Detection Research. DB&IS 2024: 79-92- 2023
- [j11]Senait Gebremichael Tesfagergish, Robertas Damasevicius, Jurgita Kapociute-Dzikiene:
Deep learning-based sentiment classification in Amharic using multi-lingual datasets. Comput. Sci. Inf. Syst. 20(4): 1459-1481 (2023) - [j10]Mantas Vaskevicius, Jurgita Kapociute-Dzikiene, Arnas Vaskevicius, Liudas Slepikas:
Deep learning-based automatic action extraction from structured chemical synthesis procedures. PeerJ Comput. Sci. 9: e1511 (2023) - 2022
- [j9]Jurgita Kapociute-Dzikiene, Askars Salimbajevs:
Comparison of Deep Learning Approaches for Lithuanian Sentiment Analysis. Balt. J. Mod. Comput. 10(3) (2022) - [c32]Askars Salimbajevs, Jurgita Kapociute-Dzikiene:
Automatic Speech Recognition Model Adaptation to Medical Domain Using Untranscribed Audio. DB&IS 2022: 65-79 - [c31]Askars Salimbajevs, Jurgita Kapociute-Dzikiene:
Vocabulary Expansion for the Sub-word WFST-Based Automatic Speech Recognition System. FTC (3) 2022: 577-592 - [c30]Senait Gebremichael Tesfagergish, Robertas Damasevicius, Jurgita Kapociute-Dzikiene:
Deep Learning-Based Sentiment Classification of Social Network Texts in Amharic Language. ICT Innovations 2022: 63-75 - [i1]Lukas Stankevicius, Mantas Lukosevicius, Jurgita Kapociute-Dzikiene, Monika Briediene, Tomas Krilavicius:
Correcting diacritics and typos with ByT5 transformer model. CoRR abs/2201.13242 (2022) - 2021
- [j8]Jussi Kalliola, Jurgita Kapociute-Dzikiene, Robertas Damasevicius:
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki. PeerJ Comput. Sci. 7: e444 (2021) - [c29]Senait Gebremichael Tesfagergish, Robertas Damasevicius, Jurgita Kapociute-Dzikiene:
Deep Fake Recognition in Tweets Using Text Augmentation, Word Embeddings and Deep Learning. ICCSA (6) 2021: 523-538 - 2020
- [j7]Jurgita Kapociute-Dzikiene, Senait Gebremichael Tesfagergish:
Part-of-Speech Tagging via Deep Neural Networks for Northern-Ethiopic Languages. Inf. Technol. Control. 49(4): 482-494 (2020) - [c28]Jurgita Kapociute-Dzikiene, Robertas Damasevicius:
Coarse-Grained vs. Fine-Grained Lithuanian Dependency Parsing. CSOC (1) 2020: 450-464 - [c27]Jurgita Kapociute-Dzikiene:
Intent Detection-Based Lithuanian Chatbot Created via Automatic DNN Hyper-Parameter Optimization. Baltic HLT 2020: 95-102 - [c26]Senait Gebremichael Tesfagergish, Jurgita Kapociute-Dzikiene:
Deep Learning-Based Part-of-Speech Tagging of the Tigrinya Language. ICIST 2020: 357-367
2010 – 2019
- 2019
- [j6]Jurgita Kapociute-Dzikiene, Robertas Damasevicius, Marcin Wozniak:
Sentiment Analysis of Lithuanian Texts Using Traditional and Deep Learning Approaches. Comput. 8(1): 4 (2019) - [j5]Minija Tamosiunaite, Mohamad Javad Aein, Jan-Matthias Braun, Tomas Kulvicius, Irena Markievicz, Jurgita Kapociute-Dzikiene, Rita Valteryte, Andrei Haidu, Dimitrios Chrysostomou, Barry Ridge, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene, Michael Beetz, Ole Madsen, Ales Ude, Norbert Krüger, Florentin Wörgötter:
Cut & recombine: reuse of robot action components based on simple language instructions. Int. J. Robotics Res. 38(10-11) (2019) - 2018
- [c25]Robertas Damasevicius, Jurgita Kapociute-Dzikiene, Marcin Wozniak:
Authorship Identification Using Random Projections. CSOS (2) 2018: 47-56 - [c24]Jurgita Kapociute-Dzikiene, Robertas Damasevicius:
Intrinsic Evaluation of Lithuanian Word Embeddings Using WordNet. CSOS (2) 2018: 394-404 - [c23]Jurgita Kapociute-Dzikiene, Robertas Damasevicius:
Lithuanian Author Profiling with the Deep Learning. FedCSIS 2018: 169-172 - [c22]Loïc Boizou, Jurgita Kapociute-Dzikiene, Erika Rimkute:
Deeper Error Analysis of Lithuanian Morphological Analyzers. Baltic HLT 2018: 18-25 - [c21]Askars Salimbajevs, Jurgita Kapociute-Dzikiene:
General-Purpose Lithuanian Automatic Speech Recognition System. Baltic HLT 2018: 150-157 - [c20]Jurgita Kapociute-Dzikiene, Robertas Damasevicius, Marcin Wozniak:
Sentiment Analysis of Lithuanian Texts Using Deep Learning Methods. ICIST 2018: 521-532 - 2017
- [j4]Jurgita Kapociute-Dzikiene, Andrius Davidsonas, Ausra Vidugiriene:
Character-Based Machine Learning vs. Language Modeling for Diacritics Restoration. Inf. Technol. Control. 46(4): 508-520 (2017) - [c19]Irena Markievicz, Minija Tamosiunaite, Daiva Vitkute-Adzgauskiene, Jurgita Kapociute-Dzikiene, Rita Valteryte, Tomas Krilavicius:
Reading Comprehension of Natural Language Instructions by Robots. BDAS 2017: 288-301 - [c18]Vincent Berment, Christian Boitet, Jean-Philippe Guilbaud, Jurgita Kapociute-Dzikiene:
Several Ways to Use the Lingwarium.org Online MT Collaborative Platform to Develop Rich Morphological Analyzers. CICLing (1) 2017: 81-86 - [c17]Jurgita Kapociute-Dzikiene, Algimantas Venckauskas, Robertas Damasevicius:
A Comparison of Authorship Attribution Approaches Applied on the Lithuanian Language. FedCSIS 2017: 347-351 - [c16]Algimantas Venckauskas, Arnas Karpavicius, Robertas Damasevicius, Romas Marcinkevicius, Jurgita Kapociute-Dzikiene, Christian Napoli:
Open Class Authorship Attribution of Lithuanian Internet Comments using One-Class Classifier. FedCSIS 2017: 373-382 - [c15]Robertas Damasevicius, Jurgita Kapociute-Dzikiene, Marcin Wozniak:
Towards Rhythmicity Analysis of Text using Empirical Mode Decomposition. KDIR 2017: 310-317 - [c14]Jurgita Kapociute-Dzikiene, Vincent Berment, Erika Rimkute:
Towards Creation of a Lithuanian Lemmatizer for Open Online Collaborative Machine Translation. ICIST 2017: 515-527 - [c13]Monika Briediene, Jurgita Kapociute-Dzikiene:
An automatic gender detection from non-normative lithuanian texts. SYSTEM 2017: 75-79 - [c12]Jurgita Kapociute-Dzikiene, Erika Rimkute, Loïc Boizou:
A Comparison of Lithuanian Morphological Analyzers. TSD 2017: 47-56 - 2016
- [c11]Jurgita Kapociute-Dzikiene, Tomas Krilavicius:
Topic Classification Problem Solving for Morphologically Complex Languages. ICIST 2016: 511-524 - 2015
- [j3]Irena Markievicz, Jurgita Kapociute-Dzikiene, Minija Tamosiunaite, Daiva Vitkute-Adzgauskiene:
Action Classification in Action Ontology Building Using Robot-Specific Texts. Inf. Technol. Control. 44(2): 155-164 (2015) - [c10]Jurgita Kapociute-Dzikiene, Andrius Utka, Ligita Sarkute:
Authorship Attribution and Author Profiling of Lithuanian Literary Texts. BSNLP@RANLP 2015: 96-105 - [c9]Jurgita Kapociute-Dzikiene, Andrius Utka, Ligita Sarkute:
Authorship Attribution of Internet Comments with Thousand Candidate Authors. ICIST 2015: 433-448 - [c8]Jurgita Kapociute-Dzikiene, Ligita Sarkute, Andrius Utka:
The Effect of Author Set Size in Authorship Attribution for Lithuanian. NODALIDA 2015: 87-96 - 2014
- [j2]Jurgita Kapociute-Dzikiene, Algis Krupavicius:
Predicting Party Group from the Lithuanian Parliamentary Speeches. Inf. Technol. Control. 43(3): 321-332 (2014) - [c7]Jurgita Kapociute-Dzikiene, Ligita Sarkute, Andrius Utka:
Automatic Author Profiling of Lithuanian Parliamentary Speeches: Exploring the Influence of Features and Dataset Sizes. Baltic HLT 2014: 99-106 - [c6]Jurgita Kapociute-Dzikiene, Andrius Utka, Ligita Sarkute:
Feature Exploration for Authorship Attribution of Lithuanian Parliamentary Speeches. TSD 2014: 93-100 - [e1]Andrius Utka, Gintare Grigonyte, Jurgita Kapociute-Dzikiene, Jurgita Vaicenoniene:
Human Language Technologies - The Baltic Perspective - Proceedings of the Sixth International Conference Baltic HLT 2014, Kaunas, Lithuania, September 26-27, 2014. Frontiers in Artificial Intelligence and Applications 268, IOS Press 2014, ISBN 978-1-61499-441-1 [contents] - 2013
- [c5]Jurgita Kapociute-Dzikiene, Algis Krupavicius, Tomas Krilavicius:
A Comparison of Approaches for Sentiment Classification on Lithuanian Internet Comments. BSNLP@ACL 2013: 2-11 - [c4]Jurgita Kapociute-Dzikiene, Joakim Nivre, Algis Krupavicius:
Lithuanian Dependency Parsing with Rich Morphological Features. SPMRL@EMNLP 2013: 12-21 - [c3]Jurgita Kapociute-Dzikiene, Anders Nøklestad, Janne Bondi Johannessen, Algis Krupavicius:
Exploring Features for Named Entity Recognition in Lithuanian Text Corpus. NODALIDA 2013: 73-88 - 2012
- [j1]Jurgita Kapociute-Dzikiene, Gailius Raskinis:
Learning a Transferable World Model by Reinforcement Agent in Deterministic Observable Grid-World Environments. Inf. Technol. Control. 41(4): 318-327 (2012) - [c2]Jurgita Kapociute-Dzikiene, Frederik Vaassen, Walter Daelemans, Algis Krupavicius:
Improving Topic Classification for Highly Inflective Languages. COLING 2012: 1393-1410 - [c1]Tomas Krilavicius, Zygimantas Medelis, Jurgita Kapociute-Dzikiene, Tomas Zalandauskas:
News Media Analysis Using Focused Crawl and Natural Language Processing: Case of Lithuanian News Websites. ICIST 2012: 48-61
Coauthor Index
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last updated on 2024-10-12 22:52 CEST by the dblp team
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