Aleksander Wawer, Małgorzata Marciniak, and Agnieszka Mykowiecka. Neural nets in detecting word level metaphors in Polish. In Zygmunt Vetulani, Patrick Paroubek, and Marek Kubis, editors, Human Language Technology. Challenges for Computer Science and Linguistics, pages 277–288, Cham, 2022. Springer International Publishing.

Aleksander Wawer, Małgorzata Marciniak, and Agnieszka Mykowiecka. Detecting word level metaphors in Polish. In Zygmunt Vetulani and Patrick Paroubek, editors, Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019, pages 87–91. Wydawnictwo Nauka i Innowacje, Poznań, Poland, 2019.

Agnieszka Mykowiecka, Małgorzata Marciniak, and Aleksander Wawer. Literal, metphorical or both? Detecting metaphoricity in isolated adjective-noun phrases. In Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, and Chee Wee, editors, Proceedings of the Workshop on Figurative Language Processing, pages 27–33. Association for Computational Linguistics, 2018.

Agnieszka Mykowiecka, Aleksander Wawer, and Małgorzata Marciniak. Detecting figurative word occurrences using recurrent neural networks. In Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, and Chee Wee, editors, Proceedings of the Workshop on Figurative Language Processing, pages 124–127. Association for Computational Linguistics, 2018.

Aleksander Wawer and Agnieszka Mykowiecka. Detecting metaphorical phrases in the Polish language. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 772–777, Varna, Bulgaria, 2017. INCOMA Ltd.

Aleksander Wawer and Agnieszka Mykowiecka. Supervised and unsupervised word sense disambiguation on word embedding vectors of unambigous synonyms. In Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications, pages 120–125. Association for Computational Linguistics, 2017.

Aleksander Wawer and Maciej Ogrodniczuk. Results of the PolEval 2017 competition: Sentiment Analysis shared task. In Zygmunt Vetulani and Patrick Paroubek, editors, Proceedings of the 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, pages 406–409, Poznań, Poland, 2017. Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu.

Aleksander Wawer. Methods of Sentiment Detection in Polish. Ph.D. dissertation, Institute of Computer Science, Polish Academy of Sciences, Warsaw, 2013.

Aleksander Wawer. Extracting emotive patterns for languages with rich morphology. International Journal of Computational Linguistics and Applications, 3(1):11–24, 2012.

Aleksander Wawer. Mining co-occurrence matrices for SO-PMI paradigm word candidates. In Proceedings of 13th Conference of the European Chapter of the Association for computational Linguistics (EACL 2012): Student Research Workshop, pages 74–80, Avignon, France, 2012.

Aleksander Wawer and Konrad Gołuchowski. Expanding opinion attribute lexicons. In Petr Sojka, Aleš Horák, Ivan Kopeček, and Karel Pala, editors, Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno, Czech Republic, number 7499 in Lecture Notes in Artificial Intelligence, pages 72–80. Springer-Verlag, Heidelberg, 2012.

Aleksander Wawer and Dominika Rogozińska. How much supervision? Corpus-based lexeme sentiment estimation. In 2012 IEEE 12th International Conference on Data Mining Workshops (SENTIRE 2012), pages 724–730, Los Alamitos, CA, USA, 2012. IEEE Computer Society.

Aleksander Wawer and Krzysztof Sakwerda. How opinion annotations become objective?. In Pascal Bouvry, Mieczysław A. Kłopotek, Franck Leprevost, Małgorzata Marciniak, Agnieszka Mykowiecka, and Henryk Rybiński, editors, Security and Intelligent Information Systems: International Joint Conference, SIIS 2011, Warsaw, Poland, June 13-14, 2011, Revised Selected Papers, number 7053 in Lecture Notes in Computer Science, pages 391–400. Springer-Verlag, 2012.

Aleksander Wawer. Mining opinion attributes from texts using multiple kernel learning. In IEEE 11th International Conference on Data Mining Workshops, pages 123–128, Los Alamitos, CA, 2011. IEEE Computer Society.

Radosław Nielek, Aleksander Wawer, and Adam Wierzbicki. Spiral of hatred: social effects in internet auctions. between informativity and emotion. Electronic Commerce Research, 10:313–330, 2010.

Aleksander Wawer. Is sentiment a property of synsets? evaluating resources for sentiment classification using machine learning. In Proceedings of the Seventh International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta, 2010. European Language Resources Association (ELRA).

Aleksander Wawer. Monitoring social attitudes using rectitude gains. In User Centric Media, volume 40 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 349–354, Berlin, Heidelberg, 2010. Springer-Verlag.

Radosław Nielek, Aleksander Wawer, and Romuald Kotowski. Patterns in time: Modelling schedules in social networks. In IEEE Social Informatics, 2009. SOCINFO '09. International Workshop on, pages 80–85, 2009.

Radosław Nielek, Aleksander Wawer, and Adam Wierzbicki. Spiral of hatred: Social effects in buyer-seller cross-comments left on internet auctions. In Proceedings of ECCV (6), volume 300 of Springer IFIP Advances in Information and Communication Technology, pages 1–14, 2009.

Aleksander Wawer and Radosław Nielek. Remove positive comment descriptions. between informativity and sentiment.. In Proceedings of TR4Web Workshop: Trust, Risk, Reputation and Recommendation on the Web, 2009.

Aleksander Wawer and Radosław Nielek. Semantics and the Polish stock market. Towards automated financial web mining. Polish Journal of Environmental Studies, 18:282–285, 2009.

Aleksander Buczyński and Aleksander Wawer. Automated classification of product review sentiments in Polish. In Mieczysław A. Kłopotek, Adam Przepiórkowski, Sławomir T. Wierzchoń, and Krzysztof Trojanowski, editors, Intelligent Information Systems, pages 211–215, Warsaw, 2008. Akademicka Oficyna Wydawnicza EXIT.

Aleksander Buczyński and Aleksander Wawer. Shallow parsing in sentiment analysis of product reviews. In Sandra Kübler, Jakub Piskorski, and Adam Przepiórkowski, editors, Proceedings of the LREC 2008 Workshop on Partial Parsing: Between Chunking and Deep Parsing, pages 14–18, Marrakech, 2008. European Language Resources Association (ELRA).

Aleksander Wawer and Radosław Nielek. Application of automated sentiment extraction from text to modeling of public opinion dynamics. Polish Journal of Environmental Studies, 17(3B):508–513, 2008.