| Analysis of ontology competency questions and their formalizations in SPARQL-OWL D Wiśniewski, J Potoniec, A Ławrynowicz, CM Keet Journal of Web Semantics 59, 100534, 2019 | 64 | 2019 |
| RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation M Bień, M Gilski, M Maciejewska, W Taisner, D Wisniewski, ... Proceedings of the 13th International Conference on Natural Language …, 2020 | 49 | 2020 |
| Dataset of ontology competency questions to SPARQL-OWL queries translations J Potoniec, D Wiśniewski, A Ławrynowicz, CM Keet Data in brief 29, 105098, 2020 | 33 | 2020 |
| Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines Ł Borchmann, D Wisniewski, A Gretkowski, I Kosmala, D Jurkiewicz, ... Findings of the Association for Computational Linguistics: EMNLP 2020 1 …, 2020 | 14 | 2020 |
| Competency questions and SPARQL-OWL queries dataset and analysis D Wisniewski, J Potoniec, A Lawrynowicz, CM Keet arXiv preprint arXiv:1811.09529, 2018 | 13 | 2018 |
| Automatic translation of competency questions into sparql-owl queries D Wisniewski Companion Proceedings of the The Web Conference 2018, 855-859, 2018 | 9 | 2018 |
| TASTEset--Recipe Dataset and Food Entities Recognition Benchmark A Wróblewska, A Kaliska, M Pawłowski, D Wiśniewski, W Sosnowski, ... arXiv preprint arXiv:2204.07775, 2022 | 7 | 2022 |
| A tagger for glossary of terms extraction from ontology competency questions D Wisniewski, A Ławrynowicz The Semantic Web: ESWC 2019 Satellite Events: ESWC 2019 Satellite Events …, 2019 | 6 | 2019 |
| BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates D Wiśniewski, J Potoniec, A Ławrynowicz arXiv preprint arXiv:2105.09574, 2021 | 5 | 2021 |
| Should we afford affordances? injecting conceptnet knowledge into bert-based models to improve commonsense reasoning ability A Gretkowski, D Wiśniewski, A Ławrynowicz International Conference on Knowledge Engineering and Knowledge Management …, 2022 | 3 | 2022 |
| Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter M Hercog, P Jaroński, J Kolanowski, P Mieczyński, D Wiśniewski, ... International Conference on Big Data Analytics and Knowledge Discovery, 46-52, 2022 | 3 | 2022 |
| ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements D Wiśniewski, J Potoniec, A Ławrynowicz Foundations of Computing and Decision Sciences 47 (1), 65 - 86, 2022 | 2 | 2022 |
| Incorporating Presuppositions of Competency Questions into Test-Driven Development of Ontologies J Potoniec, D Wiśniewski, A Ławrynowicz SEKE 2021: Proceedings of the 33rd International Conference on Software …, 2021 | 2 | 2021 |
| SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL D Wisniewski, J Potoniec, A Lawrynowicz CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 1 | 2021 |
| Fine-Grained and Complex Food Entity Recognition Benchmark for Ingredient Substitution A Lawrynowicz, A Wróblewska, A Kaliska, M Pawlowski, D Wiśniewski, ... Proceedings of the 12th Knowledge Capture Conference 2023, 25-29, 2023 | | 2023 |
| BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract) D Wiśniewski, J Potoniec, A Ławrynowicz Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13079 …, 2022 | | 2022 |
| Method for processing language information and electronic device therefor P Bujnowski, D Wisniewski, HS Jeon, JE Marhula, K Beksa, M Zembrzuski US Patent 11,216,497, 2022 | | 2022 |
| Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task Ł Borchmann, D Wisniewski, A Gretkowski, I Kosmala, D Jurkiewicz, ... CoRR, 2019 | | 2019 |
| COURSE DESCRIPTION CARD-SYLLABUS M Morzy, D Wiśniewski, A Ławrynowicz | | |
| AUTOMATING COMPETENCY QUESTIONS HANDLING IN ONTOLOGY DEVELOPMENT PROCESSES D Wiśniewski | | |
Agnieszka ŁawrynowiczAssociate Professor, Poznan University of TechnologyVerified email at cs.put.poznan.pl
