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ORCIDDawid Wisniewski
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2020 – today
- 2024
[c11]Dawid Wisniewski, Zofia Rostek, Artur Nowakowski:
FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes. EAMT (1) 2024: 164-180- [i5]Dawid Wisniewski, Zofia Rostek, Artur Nowakowski:
FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes. CoRR abs/2405.11942 (2024) - 2023
- [c10]Agnieszka Lawrynowicz
, Anna Wróblewska, Agnieszka Kaliska, Maciej Pawlowski, Dawid Wisniewski, Witold Sosnowski, Jakub Dutkiewicz:
Fine-Grained and Complex Food Entity Recognition Benchmark for Ingredient Substitution. K-CAP 2023: 25-29 - 2022
- [c9]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). AAAI 2022: 13079-13080 - [c8]Maciej Hercog, Piotr Jaronski, Jan Kolanowski, Pawel Mieczynski, Dawid Wisniewski, Jedrzej Potoniec:
Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter. DaWaK 2022: 46-52 - [c7]Andrzej Gretkowski, Dawid Wisniewski, Agnieszka Lawrynowicz:
Should We Afford Affordances? Injecting ConceptNet Knowledge into BERT-Based Models to Improve Commonsense Reasoning Ability. EKAW 2022: 97-104 - [d1]Anna Wróblewska, Agnieszka Kaliska, Maciej Pawlowski, Dawid Wisniewski, Witold Sosnowski, Agnieszka Lawrynowicz:
TASTEset - Recipe and Food Entities Dataset. IEEE DataPort, 2022
- [i4]Anna Wróblewska, Agnieszka Kaliska, Maciej Pawlowski, Dawid Wisniewski, Witold Sosnowski, Agnieszka Lawrynowicz:
TASTEset - Recipe Dataset and Food Entities Recognition Benchmark. CoRR abs/2204.07775 (2022) - 2021
- [c6]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. CIKM 2021: 2119-2128 - [c5]Jedrzej Potoniec, Dawid Wisniewski, Agnieszka Lawrynowicz:
Incorporating Presuppositions of Competency Questions into Test-Driven Development of Ontologies (S). SEKE 2021: 437-440 - [i3]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates. CoRR abs/2105.09574 (2021) - 2020
- [c4]Lukasz Borchmann, Dawid Wisniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Lukasz Szalkiewicz, Gabriela Palka, Karol Kaczmarek, Agnieszka Kaliska, Filip Gralinski:
Contract Discovery: Dataset and a Few-shot Semantic Retrieval Challenge with Competitive Baselines. EMNLP (Findings) 2020: 4254-4268 - [c3]Michal Bien, Michal Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wisniewski, Agnieszka Lawrynowicz:
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation. INLG 2020: 22-28
2010 – 2019
- 2019
- [j1]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz, C. Maria Keet:
Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL. J. Web Semant. 59 (2019) - [c2]Dawid Wisniewski, Agnieszka Lawrynowicz:
A Tagger for Glossary of Terms Extraction from Ontology Competency Questions. ESWC (Satellite Events) 2019: 181-185 - [i2]Lukasz Borchmann, Dawid Wisniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Lukasz Szalkiewicz, Gabriela Palka, Karol Kaczmarek, Agnieszka Kaliska, Filip Gralinski:
Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task. CoRR abs/1911.03911 (2019) - 2018
- [c1]Dawid Wisniewski:
Automatic Translation of Competency Questions into SPARQL-OWL Queries. WWW (Companion Volume) 2018: 855-859 - [i1]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz, C. Maria Keet:
Competency Questions and SPARQL-OWL Queries Dataset and Analysis. CoRR abs/1811.09529 (2018)
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last updated on 2024-10-02 21:39 CEST by the dblp team
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