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2020 – today
- 2023
[j4]Maria Pszona, Maria Janicka, Grzegorz Wojdyga, Aleksander Wawer
:
Towards universal methods for fake news detection. Nat. Lang. Eng. 29(4): 1004-1042 (2023)- [c30]Roman Dusek, Aleksander Wawer, Christopher Galias, Lidia Wojciechowska:
Improving Domain-Specific Retrieval by NLI Fine-Tuning. FedCSIS 2023: 949-953 - [i3]Roman Dusek, Aleksander Wawer, Christopher Galias, Lidia Wojciechowska:
Improving Domain-Specific Retrieval by NLI Fine-Tuning. CoRR abs/2308.03103 (2023) - 2022
- [j3]Aleksander Wawer, Izabela Chojnicka, Lukasz Okruszek, Justyna Sarzynska-Wawer:
Single and Cross-Disorder Detection for Autism and Schizophrenia. Cogn. Comput. 14(1): 461-473 (2022) - [c29]Aleksander Leczkowski, Justyna Grudzinska, Manuel Vargas Guzmán, Aleksander Wawer, Aleksandra Siemieniuk:
Prepositions Matter in Quantifier Scope Disambiguation. COLING 2022: 3960-3970 - 2021
- [c28]Aleksander Wawer:
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER. RANLP 2021: 1508-1514
2010 – 2019
- 2019
- [j2]Maria Janicka, Maria Pszona, Aleksander Wawer:
Cross-Domain Failures of Fake News Detection. Computación y Sistemas 23(3) (2019) - [c27]Aleksander Wawer, Malgorzata Marciniak, Agnieszka Mykowiecka:
Neural Nets in Detecting Word Level Metaphors in Polish. LCT 2019: 277-288 - [c26]Aleksander Wawer, Julita Sobiczewska:
Predicting Sentiment of Polish Language Short Texts. RANLP 2019: 1321-1327 - [c25]Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka:
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. SemEval@NAACL-HLT 2019: 1172-1175 - [i2]Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka:
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. CoRR abs/1906.01515 (2019) - [i1]Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer:
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization. CoRR abs/1911.12237 (2019) - 2018
- [c24]Agnieszka Mykowiecka, Malgorzata Marciniak, Aleksander Wawer:
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases. Fig-Lang@NAACL-HLT 2018: 27-33 - [c23]Agnieszka Mykowiecka, Aleksander Wawer, Malgorzata Marciniak:
Detecting Figurative Word Occurrences Using Recurrent Neural Networks. Fig-Lang@NAACL-HLT 2018: 124-127 - [c22]Filip Skurniak, Maria Janicka, Aleksander Wawer:
Multi-Module Recurrent Neural Networks with Transfer Learning. Fig-Lang@NAACL-HLT 2018: 128-132 - [c21]Aleksander Wawer, Justyna Sarzynska:
The Linguistic Category Model in Polish (LCM-PL). LREC 2018 - [c20]Aleksander Wawer, Justyna Sarzynska:
Do We Need Word Sense Disambiguation for LCM Tagging? TSD 2018: 197-204 - 2017
- [c19]Aleksander Wawer, Agnieszka Mykowiecka:
Detecting Metaphorical Phrases in the Polish Language. RANLP 2017: 772-777 - 2016
- [c18]Aleksander Wawer:
OPFI: A Tool for Opinion Finding in Polish. LREC 2016 - 2015
- [c17]Aleksander Wawer:
Towards Domain-Independent Opinion Target Extraction. ICDM Workshops 2015: 1326-1331 - [c16]Aleksander Wawer:
Sentiment Dictionary Refinement Using Word Embeddings. ISMIS 2015: 186-193 - 2014
- [c15]Aleksander Wawer, Radoslaw Nielek, Adam Wierzbicki:
Predicting webpage credibility using linguistic features. WWW (Companion Volume) 2014: 1135-1140 - 2013
- [c14]Dominika Rogozinska, Aleksander Wawer:
Interpreting or Describing? Measuring Verb Abstraction. ICDM Workshops 2013: 963-966 - [c13]Maciej Rubikowski, Aleksander Wawer:
The Scent of Deception: Recognizing Fake Perfume Reviews in Polish. IIS 2013: 45-49 - [c12]Radoslaw Nielek, Aleksander Wawer, Adam Wierzbicki:
Collective Memory in Poland: A Reflection in Street Names. SocInfo Workshops 2013: 134-142 - [c11]Radoslaw Nielek, Aleksander Wawer, Michal Jankowski-Lorek, Adam Wierzbicki:
Temporal, Cultural and Thematic Aspects of Web Credibility. SocInfo 2013: 419-428 - [p1]Radoslaw 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 - 2012
- [c10]Aleksander Wawer:
Mining Co-Occurrence Matrices for SO-PMI Paradigm Word Candidates. EACL 2012: 74-80 - [c9]Aleksander Wawer, Dominika Rogozinska:
How Much Supervision? Corpus-Based Lexeme Sentiment Estimation. ICDM Workshops 2012: 724-730 - [c8]Aleksander Wawer, Konrad Goluchowski:
Expanding Opinion Attribute Lexicons. TSD 2012: 72-80 - 2011
- [c7]Aleksander Wawer:
Mining Opinion Attributes from Texts Using Multiple Kernel Learning. ICDM Workshops 2011: 123-128 - [c6]Aleksander Wawer, Krzysztof Sakwerda:
How Opinion Annotations and Ontologies Become Objective? SIIS 2011: 391-400 - 2010
- [j1]Radoslaw Nielek, Aleksander Wawer, Adam Wierzbicki:
Spiral of hatred: social effects in Internet auctions. Between informativity and emotion. Electron. Commer. Res. 10(3-4): 313-330 (2010) - [c5]Aleksander Wawer:
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning. LREC 2010
2000 – 2009
- 2009
- [c4]Radoslaw Nielek, Aleksander Wawer, Adam Wierzbicki:
Spiral of Hatred: Social Effects in Buyer-Seller Cross-Comments Left on Internet Auctions. IFIPTM 2009: 1-14 - [c3]Aleksander Wawer:
Monitoring Social Attitudes Using Rectitude Gains. UCMedia 2009: 349-354 - 2004
- [c2]Aleksander Wawer, Franciszek Seredynski, Pascal Bouvry:
Application of evolutionary computing to conformational analysis. Intelligent Information Systems 2004: 161-168 - [c1]Aleksander Wawer, Franciszek Seredynski, Pascal Bouvry:
Evolutionary Algorithms for Conformational Analysis: Vitamine E Case Study. IPDPS 2004
Coauthor Index
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