Inforex - a web-based tool for text corpus management and semantic annotation. - Michal Marcinczuk; Jan Kocon; Bartosz Broda (LREC, 2012)

Heterogeneous Named Entity Similarity Function. - Jan Kocon; Maciej Piasecki (TSD, 2012)

Recognition of Named Entities Boundaries in Polish Texts. - Michal Marcinczuk; Jan Kocon (BSNLP@ACL, 2013)

Liner2 - A Customizable Framework for Proper Names Recognition for Polish. - Michal Marcinczuk; Jan Kocon; Maciej Janicki (Intelligent Tools for Building a Scientific Information Platform, 2013)

Named Entity Matching Method Based on the Context-Free Morphological Generator. - Jan Kocon; Maciej Piasecki (PolTAL, 2014)

Recognition of Polish Temporal Expressions. - Jan Kocon; Michal Marcinczuk (RANLP, 2015)

Generating of Events Dictionaries from Polish WordNet for the Recognition of Events in Polish Documents. - Jan Kocon; Michal Marcinczuk (TSD, 2016)

Liner2 - a Generic Framework for Named Entity Recognition. - Michal Marcinczuk; Jan Kocon; Marcin Oleksy (BSNLP@EACL, 2017)

Improved Recognition and Normalisation of Polish Temporal Expressions. - Jan Kocon; Michal Marcinczuk (RANLP, 2017)

Inforex - a collaborative system for text corpora annotation and analysis. - Michal Marcinczuk; Marcin Oleksy; Jan Kocon (RANLP, 2017)

Recognition of Genuine Polish Suicide Notes. - Maciej Piasecki; Ksenia Mlynarczyk; Jan Kocon (RANLP, 2017)

Supervised approach to recognise Polish temporal expressions and rule-based interpretation of timexes. - Jan Kocon; Michal Marcinczuk (Nat. Lang. Eng., 2017)

Classifier-based Polarity Propagation in a WordNet. - Jan Kocon; Arkadiusz Janz; Maciej Piasecki (LREC, 2018)

Context-sensitive Sentiment Propagation in WordNet. - Jan Kocon; Arkadiusz Janz; Maciej Piasecki (GWC, 2018)

Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews. - Jan Kocon; Piotr Milkowski; Monika Zasko-Zielinska (CoNLL, 2019)

Evaluating Natural Language Processing tools for Polish during PolEval 2019. - Lukasz Kobylinski; Maciej Ogrodniczuk; Jan Kocon; Michal Marcinczuk; Aleksander Smywinski-Pohl; Krzysztof Wolk; Danijel Korzinek; Michal Ptaszynski; Agata Pieciukiewicz; Pawel Dybala (LCT, 2019)

Multilingual and Language-Agnostic Recognition of Emotions, Valence and Arousal in Large-Scale Multi-domain Text Reviews. - Jan Kocon; Piotr Milkowski; Malgorzata Wierzba; Barbara Konat; Katarzyna Klessa; Arkadiusz Janz; Monika Riegel; Konrad Juszczyk; Damian Grimling; Artur Marchewka; Maciej Piasecki (LCT, 2019)

Multi-level analysis and recognition of the text sentiment on the example of consumer opinions. - Jan Kocon; Monika Zasko-Zielinska; Piotr Milkowski (RANLP, 2019)

Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings. - Jan Kocon; Arkadiusz Janz (GWC, 2019)

Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF. - Jan Kocon; Michal Gawor (CoRR, 2019)

Cross-lingual deep neural transfer learning in sentiment analysis. - Kamil Kanclerz; Piotr Milkowski; Jan Kocon (KES, 2020)

Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. - Kamil Kanclerz; Alicja Figas; Marcin Gruza; Tomasz Kajdanowicz; Jan Kocon; Daria Puchalska; Przemyslaw Kazienko (ACL/IJCNLP (1), 2021)

Personal Bias in Prediction of Emotions Elicited by Textual Opinions. - Piotr Milkowski; Marcin Gruza; Kamil Kanclerz; Przemyslaw Kazienko; Damian Grimling; Jan Kocon (ACL (student), 2021)

MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews. - Jan Kocon; Piotr Milkowski; Kamil Kanclerz (ICCS (2), 2021)

Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. - Jan Kocon; Marcin Gruza; Julita Bielaniewicz; Damian Grimling; Kamil Kanclerz; Piotr Milkowski; Przemyslaw Kazienko (ICDM, 2021)

Deep Neural Language-agnostic Multi-task Text Classifier. - Karol Gawron; Michal Pogoda; Norbert Ropiak; Michal Swedrowski; Jan Kocon (ICDM (Workshops), 2021)

AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis. - Jan Kocon; Jarema Radom; Ewa Kaczmarz-Wawryk; Kamil Wabnic; Ada Zajaczkowska; Monika Zasko-Zielinska (ICDM (Workshops), 2021)

Multi-task Sequence Classification for Disjoint Tasks in Low-resource Languages. - Jarema Radom; Jan Kocon (KES, 2021)

Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. - Jan Kocon; Alicja Figas; Marcin Gruza; Daria Puchalska; Tomasz Kajdanowicz; Przemyslaw Kazienko (Inf. Process. Manag., 2021)

Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition. - Jan Kocon; Marek Maziarz (Inf. Process. Manag., 2021)

Neuro-Symbolic Models for Sentiment Analysis. - Jan Kocon; Joanna Baran; Marcin Gruza; Arkadiusz Janz; Michal Kajstura; Przemyslaw Kazienko; Wojciech Korczynski; Piotr Milkowski; Maciej Piasecki; Joanna Szolomicka (ICCS (1), 2022)

MultiEmo: Language-Agnostic Sentiment Analysis. - Piotr Milkowski; Marcin Gruza; Przemyslaw Kazienko; Joanna Szolomicka; Stanislaw Wozniak; Jan Kocon (ICCS (1), 2022)

Deep Neural Sequence to Sequence Lexical Substitution for the Polish Language. - Michal Pogoda; Karol Gawron; Norbert Ropiak; Michal Swedrowski; Jan Kocon (ICCS (1), 2022)

Multi-module Natural Language Search Engine for Travel Offers. - Karol Gawron; Konrad Wojtasik; Bartlomiej Bojanowski; Arkadiusz Janz; Jan Kocon; Tomasz Krupa; Agnieszka Kukalowicz; Piotr Milkowski; Maciej Piasecki; Michal Pogoda; Norbert Ropiak; Michal Swedrowski; et al. (ICCCI (CCIS Volume), 2022)

Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data. - Piotr Milkowski; Marcin Gruza; Przemyslaw Kazienko; Joanna Szolomicka; Stanislaw Wozniak; Jan Kocon (ICCCI, 2022)

Multi-Wiki90k: Multilingual Benchmark Dataset for Paragraph Segmentation. - Michal Swedrowski; Piotr Milkowski; Bartlomiej Bojanowski; Jan Kocon (ICCCI (CCIS Volume), 2022)

Linguistic Knowledge Application to Neuro-Symbolic Transformers in Sentiment Analysis. - Joanna Baran; Jan Kocon (ICDM (Workshops), 2022)

Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context. - Julita Bielaniewicz; Kamil Kanclerz; Piotr Milkowski; Marcin Gruza; Konrad Karanowski; Przemyslaw Kazienko; Jan Kocon (ICDM (Workshops), 2022)

Compression Methods for Transformers in Multidomain Sentiment Analysis. - Wojciech Korczynski; Jan Kocon (ICDM (Workshops), 2022)

MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment Analysis. - Joanna Szolomicka; Jan Kocon (ICDM (Workshops), 2022)

What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech Detection. - Kamil Kanclerz; Marcin Gruza; Konrad Karanowski; Julita Bielaniewicz; Piotr Milkowski; Jan Kocon; Przemyslaw Kazienko (NLPerspectives@LREC, 2022)

StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition. - Anh Ngo; Agri Candri; Teddy Ferdinan; Jan Kocon; Wojciech Korczynski (NLPerspectives@LREC, 2022)

Multitask Personalized Recognition of Emotions Evoked by Textual Content. - Piotr Milkowski; Stanislaw Saganowski; Marcin Gruza; Przemyslaw Kazienko; Maciej Piasecki; Jan Kocon (PerCom Workshops, 2022)

Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI. - Teddy Ferdinan; Jan Kocon (SafeAI@AAAI, 2023)

Multi-Modal Personalized Hate Speech Analysis using Differential Dataset Cartography. - Jan Kocon; Joanna Baran; Kamil Kanclerz (DE-FACTIFY@AAAI, 2023)

PALS: Personalized Active Learning for Subjective Tasks in NLP. - Kamil Kanclerz; Konrad Karanowski; Julita Bielaniewicz; Marcin Gruza; Piotr Milkowski; Jan Kocon; Przemyslaw Kazienko (EMNLP, 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis. - Jan Kocon; Joanna Baran; Kamil Kanclerz; Michal Kajstura; Przemyslaw Kazienko (ICCS (1), 2023)

CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT. - Bartlomiej Koptyra; Anh Ngo; Lukasz Radlinski; Jan Kocon (ICCS (1), 2023)

Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems. - Kamil Kanclerz; Julita Bielaniewicz; Marcin Gruza; Jan Kocon; Stanislaw Wozniak; Przemyslaw Kazienko (ICDM (Workshops), 2023)

Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets. - Jan Kocon (ICDM (Workshops), 2023)

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. - Piotr Milkowski; Konrad Karanowski; Patryk Wielopolski; Jan Kocon; Przemyslaw Kazienko; Maciej Zieba (ICDM (Workshops), 2023)

From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis. - Stanislaw Wozniak; Jan Kocon (ICDM (Workshops), 2023)

Capturing Human Perspectives in NLP: Questionnaires, Annotations, and Biases. - Wiktoria Mieleszczenko-Kowszewicz; Kamil Kanclerz; Julita Bielaniewicz; Marcin Oleksy; Marcin Gruza; Stanislaw Wozniak; Ewa Dzieciol; Przemyslaw Kazienko; Jan Kocon (NLPerspectives@ECAI, 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Huanqi Cao; Xin Cheng; Michael Chung; Matteo Grella; Kranthi Kiran G. V.; Xuzheng He; Haowen Hou; et al. (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor. - Przemyslaw Kazienko; Julita Bielaniewicz; Marcin Gruza; Kamil Kanclerz; Konrad Karanowski; Piotr Milkowski; Jan Kocon (Inf. Fusion, 2023)

ChatGPT Evaluation Dataset v.2.0. - Jan Kocon; Przemyslaw Kazienko (Zenodo, 2023)

ChatGPT: Jack of all trades, master of none. - Jan Kocon; Igor Cichecki; Oliwier Kaszyca; Mateusz Kochanek; Dominika Szydlo; Joanna Baran; Julita Bielaniewicz; Marcin Gruza; Arkadiusz Janz; Kamil Kanclerz; Anna Kocon; Bartlomiej Koptyra; et al. (Inf. Fusion, 2023)

Into the Unknown: Self-Learning Large Language Models. - Teddy Ferdinan; Jan Kocon; Przemyslaw Kazienko (ICDM (Workshops), 2024)

Comprehensive Sentiment Analysis of Polish Book Reviews Using Large and Small Language Models. - Agnieszka Karlinska; Piotr Milkowski; Paulina Czwordon-Lis; Bartlomiej Koptyra; Jan Kocon (ICDM (Workshops), 2024)

Small Language Models for Emotion Recognition in Polish Stock Market Investor Opinions. - Bartlomiej Koptyra; Marcin Oleksy; Ewa Dzieciol; Jan Kocon (ICDM (Workshops), 2024)

Personalized Large Language Models. - Stanislaw Wozniak; Bartlomiej Koptyra; Arkadiusz Janz; Przemyslaw Kazienko; Jan Kocon (ICDM (Workshops), 2024)

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. - Bo Peng; Daniel Goldstein; Quentin Anthony; Alon Albalak; Eric Alcaide; Stella Biderman; Eugene Cheah; Xingjian Du; Teddy Ferdinan; Haowen Hou; Przemyslaw Kazienko; Kranthi Kiran GV; et al. (CoRR, 2024)

Predicting Stock Prices with ChatGPT-Annotated Reddit Sentiment: Hype or Reality? - Mateusz Kmak; Kamil Chmurzynski; Kamil Matejuk; Pawel Kotzbach; Jan Kocon (ICCS (Workshops 3), 2025)

SupResDiffGAN a New Approach for the Super-Resolution Task. - Dawid Kopec; Wojciech Kozlowski; Maciej Wizerkaniuk; Dawid Krutul; Jan Kocon; Maciej Zieba (ICCS (Workshops 3), 2025)

AggTruth: Contextual Hallucination Detection Using Aggregated Attention Scores in LLMs. - Piotr Matys; Jan Eliasz; Konrad Kielczynski; Mikolaj Langner; Teddy Ferdinan; Jan Kocon; Przemyslaw Kazienko (ICCS (Workshops 5), 2025)

Backtranslation and Paraphrasing in the LLM Era? Comparing Data Augmentation Methods for Emotion Classification. - Lukasz Radlinski; Mateusz Gusciora; Jan Kocon (ICCS (1), 2025)

Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset. - Jakub Wasala; Bartlomiej Wrzalski; Kornelia Noculak; Yuliia Tarasenko; Oliwer Krupa; Jan Kocon; Grzegorz Chodak (ICCS (Workshops 3), 2025)

Improving LLM-Based Recommender Systems with User-Controllable Profiles. - Stanislaw Wozniak; Jacek Duszenko; Jan Kocon; Przemyslaw Kazienko (WWW (Companion Volume), 2025)

Fortifying NLP models against poisoning attacks: The power of personalized prediction architectures. - Teddy Ferdinan; Jan Kocon (Inf. Fusion, 2025)

Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability. - Anh Ngo; Jan Kocon (Inf. Fusion, 2025)

Predicting stock prices with ChatGPT-annotated Reddit sentiment. - Mateusz Kmak; Kamil Chmurzynski; Kamil Matejuk; Pawel Kotzbach; Jan Kocon (CoRR, 2025)