Łukasz Augustyniak
Łukasz Augustyniak
Wroclaw University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
Comprehensive study on lexicon-based ensemble classification sentiment analysis
Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz
Entropy 18 (1), 4, 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
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
Comprehensive analysis of aspect term extraction methods using various text embeddings
Ł Augustyniak, T Kajdanowicz, P Kazienko
Computer Speech & Language 69, 101217, 2021
WordNet2Vec: Corpora agnostic word vectorization method
R Bartusiak, Ł Augustyniak, T Kajdanowicz, P Kazienko, M Piasecki
Neurocomputing 326, 141-150, 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
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
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
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
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
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
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
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
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
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
Extracting aspects hierarchies using rhetorical structure theory
Ł Augustyniak, T Kajdanowicz, P Kazienko
Proceedings of the 2018 International Conference on Algorithms, Computing …, 2018
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
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
Assessment of massively multilingual sentiment classifiers
K Rajda, Ł Augustyniak, P Gramacki, M Gruza, S Woźniak, T Kajdanowicz
arXiv preprint arXiv:2204.04937, 2022
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
J Mizgajski, A Szymczak, R Głowski, P Szymański, P Żelasko, ...
arXiv preprint arXiv:1909.02851, 2019
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