| Comprehensive study on lexicon-based ensemble classification sentiment analysis Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz Entropy 18 (1), 4, 2015 | 56 | 2015 |
| WER we are and WER we think we are P Szymański, P Żelasko, M Morzy, A Szymczak, M Żyła-Hoppe, ... arXiv preprint arXiv:2010.03432, 2020 | 51 | 2020 |
| Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods L Augustyniak, T Kajdanowicz, P Szymański, W Tuligłowicz, P Kazienko, ... 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 44 | 2014 |
| Comprehensive analysis of aspect term extraction methods using various text embeddings Ł Augustyniak, T Kajdanowicz, P Kazienko Computer Speech & Language 69, 101217, 2021 | 43 | 2021 |
| WordNet2Vec: Corpora agnostic word vectorization method R Bartusiak, Ł Augustyniak, T Kajdanowicz, P Kazienko, M Piasecki Neurocomputing 326, 141-150, 2019 | 33 | 2019 |
| Aspect detection using word and char embeddings with (Bi) LSTM and CRF Ł Augustyniak, T Kajdanowicz, P Kazienko 2019 IEEE second international conference on artificial intelligence and …, 2019 | 25 | 2019 |
| An approach to sentiment analysis of movie reviews: Lexicon based vs. classification L Augustyniak, T Kajdanowicz, P Kazienko, M Kulisiewicz, W Tuliglowicz Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS …, 2014 | 24 | 2014 |
| Sentiment analysis for polish using transfer learning approach R Bartusiak, L Augustyniak, T Kajdanowicz, P Kazienko 2015 Second European Network Intelligence Conference, 53-59, 2015 | 14 | 2015 |
| This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish L Augustyniak, K Tagowski, A Sawczyn, D Janiak, R Bartusiak, ... Advances in Neural Information Processing Systems 35, 21805-21818, 2022 | 12 | 2022 |
| Punctuation prediction in spontaneous conversations: Can we mitigate asr errors with retrofitted word embeddings? Ł Augustyniak, P Szymanski, M Morzy, P Zelasko, A Szymczak, ... arXiv preprint arXiv:2004.05985, 2020 | 11 | 2020 |
| Why Aren’t We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts P Szymański, L Augustyniak, M Morzy, A Szymczak, K Surdyk, P Żelasko Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 8 | 2023 |
| Political advertising dataset: the use case of the Polish 2020 presidential elections Ł Augustyniak, K Rajda, T Kajdanowicz, M Bernaczyk arXiv preprint arXiv:2006.10207, 2020 | 7 | 2020 |
| Fact-checking: Relevance assessment of references in the Polish political domain A Sawczyn, J Binkowski, D Janiak, Ł Augustyniak, T Kajdanowicz Procedia Computer Science 192, 1285-1293, 2021 | 5 | 2021 |
| Return on investment in machine learning: Crossing the chasm between academia and business J Mizgajski, A Szymczak, M Morzy, Ł Augustyniak, P Szymański, ... Foundations of Computing and Decision Sciences 45 (4), 281-304, 2020 | 4 | 2020 |
| Extracting aspects hierarchies using rhetorical structure theory Ł Augustyniak, T Kajdanowicz, P Kazienko Proceedings of the 2018 International Conference on Algorithms, Computing …, 2018 | 4 | 2018 |
| Assessment of massively multilingual sentiment classifiers K Rajda, Ł Augustyniak, P Gramacki, M Gruza, S Woźniak, T Kajdanowicz arXiv preprint arXiv:2204.04937, 2022 | 3 | 2022 |
| Method for aspect-based sentiment annotation using rhetorical analysis Ł Augustyniak, K Rajda, T Kajdanowicz Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS …, 2017 | 3 | 2017 |
| Fast and accurate-improving lexicon-based sentiment classification with an ensemble methods Ł Augustyniak, P Szymański, T Kajdanowicz, P Kazienko Intelligent Information and Database Systems: 8th Asian Conference, ACIIDS …, 2016 | 3 | 2016 |
| Massively multilingual corpus of sentiment datasets and multi-faceted sentiment classification benchmark L Augustyniak, S Woźniak, M Gruza, P Gramacki, K Rajda, M Morzy, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Electoral Agitation Data Set: The Use Case of the Polish Election M Baran, M Wójcik, P Kolebski, M Bernaczyk, K Rajda, Ł Augustyniak, ... arXiv preprint arXiv:2307.07007, 2023 | 1 | 2023 |
Tomasz KajdanowiczWroclaw University of TechnologyVerified email at pwr.edu.pl
