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AleksanderWawer

Aleksander Wawer

Contact information

Address:

Institute of Computer Science, Polish Academy of Sciences

Jana Kazimierza 5

01-248 Warszawa

Poland

Room:

226

Phone:

+48 514 81 3336

E-mail:

<axw@ipipan.waw.pl>

Projects

Selected publications

  • (To appear) Piotr Niewiński, Aleksander Wawer, Maria Pszona, Maria Janicka. TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. Proceedings of SemEval 2019. NAACL-HLT 2019

  • (To appear) Maria Janicka, Maria Pszona, Aleksander Wawer. Cross-Domain Failures of Fake News Detection. Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing. CiCLing 2019
  • (To appear) Michał Marcińczuk and Aleksander Wawer. Named Entity Recognition for Polish. Poznan Studies in Contemporary Linguistics. Special issue on Polish language NLP. 2019
  • (To appear) Aleksander Wawer. Sentiment Analysis for Polish. Poznan Studies in Contemporary Linguistics. Special issue on Polish language NLP. 2019
  • Aleksander Wawer and Estera Małek. Results of the PolEval 2018 Shared Task: Named Entity Recognition. Proceedings of the PolEval 2018 Workshop, pp. 53-62. 2018

  • Aleksander Wawer and Justyna Sarzyńska. Do We Need Word Sense Disambiguation for LCM Tagging? In: Sojka P., Horák A., Kopeček I., Pala K. (eds) Text, Speech, and Dialogue, pp. 197-204 (TSD 2018). Springer Lecture Notes in Artificial Intelligence, vol 11107. Springer, Cham
  • Aleksander Wawer and Justyna Sarzyńska. The Linguistic Category Model in Polish (LCM-PL). Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA). 2018
  • Agnieszka Mykowiecka, Aleksander Wawer and Malgorzata Marciniak. Detecting figurative word occurrences using word embeddings. Workshop on Figurative Language Processing held with The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2018
  • Agnieszka Mykowiecka, Malgorzata Marciniak and Aleksander Wawer. Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases. Workshop on Figurative Language Processing held with The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2018
  • Filip Skurniak, Maria Janicka and Aleksander Wawer. Multi-Module Recurrent Neural Networks with Transfer Learning. A Submission for the Metaphor Detection Shared Task. Workshop on Figurative Language Processing held with The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2018
  • 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, Poznań, Poland, 2017. Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu.

  • 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.
  • Czy komputer rozpozna hejtera? Wykorzystanie uczenia maszynowego (ML) w jakościowej analizie danych. Marek Troszyński, Aleksander Wawer. Qualitative Sociology Review. Vol. 13 (2). 2017
  • Aleksander Wawer. OPFI: A Tool for Opinion Finding in Polish. Proceedings of the Tenth International Conference on Language Resources and Evaluation, LREC 2016.
  • Aleksander Wawer. Sentiment Dictionary Refinement Using Word Embeddings. Proceedings of 22nd International Symposium on Methodologies for Intelligent Systems. Springer, Lecture Notes in Artificial Intelligence vol. 9384, pp. 186-193 2015
  • Aleksander Wawer. Towards Domain-Independent Opinion Target Extraction. Proceedings of SENTIRE 2015: 5th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. The 15th IEEE International Conference on Data Mining Workshops (IEEE ICDMW 2015). 2015
  • Jarosław Bukowicki, Aleksander Wawer, Katarzyna Paradowska. Conformational Analysis of Gentiobiose Using Genetic Algorithm Search and GIAO DFT Calculations with 13C CPMAS NMR as a Verification Method. Journal of Carbohydrate Chemistry, Vol. 34 (3), 2015, pp. 145-162
  • Aleksander Wawer, Radoslaw Nielek, Adam Wierzbicki. Predicting webpage credibility using linguistic features. WWW (Companion Volume) 2014: 1135-1140
  • Dominika Rogozińska, Aleksander Wawer. Interpreting or Describing? Measuring Verb Abstraction. ICDM Workshops 2013: 963-966
  • Maciej Rubikowski, Aleksander Wawer. The Scent of Deception: Recognizing Fake Perfume Reviews in Polish. Springer Lecture Notes in Computer Science vol 7912. Language Processing and Intelligent Information Systems, 20th International Conference, IIS 2013, Warsaw, Poland, June 17-18, 2013. pp 45-49
  • Radosław Nielek, Aleksander Wawer, Adam Wierzbicki. Collective Memory in Poland: A Reflection in Street Names. Springer Lecture Notes in Computer Science vol 8359. SocInfo 2013 International Workshops, QMC and HISTOINFORMATICS, Kyoto, Japan, November 25, 2013, Revised Selected Papers

  • Radosław Nielek, Aleksander Wawer, Michal Jankowski-Lorek, Adam Wierzbicki. Temporal, Cultural and Thematic Aspects of Web Credibility. Lecture Notes in Computer Science. Volume 8238. SocInfo 2013: 419-428

  • Radosław Nielek, Aleksander Wawer, Adam Wierzbicki. Collaborative Problem Solving in Emergency Situations: Lessons Learned from a Rescue Mission. Advanced Methods for Computational Collective Intelligence 2013: 47-58
  • 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, volume 7499 of 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, volume 7053 of 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. 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.