E-LIB Suche - Ergebnisse für: Dadas, Sławomir

1

Correction: A support system for the detection of abusive c..:

Dadas, Sławomir ; Kozłowski, Marek ; Poświata, Rafał...
Artificial Intelligence and Law. , 2024

Link: https://doi.org/10.1007/..

2

A support system for the detection of abusive clauses in B2..:

Dadas, Sławomir ; Kozłowski, Marek ; Poświata, Rafał...
Artificial Intelligence and Law. , 2024

Link: https://doi.org/10.1007/..

3

Training Effective Neural Sentence Encoders from Automatica..:

, In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC),

Dadas, Slawomir - p. 371-378 , 2022

Link: https://doi.org/10.1109/..

4

Pre-training Polish Transformer-Based Language Models at Sc..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,

Dadas, Sławomir ; Perełkiewicz, Michał ; Poświata, Rafał - p. 301-314 , 2020

Link: https://doi.org/10.1007/..

5

A Bidirectional Iterative Algorithm for Nested Named Entity..:

Dadas, Slawomir ; Protasiewicz, Jaroslaw
IEEE Access. 8 (2020) - p. 135091-135102 , 2020

Link: https://doi.org/10.1109/..

6

Combining Neural and Knowledge-Based Approaches to Named En..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,

Dadas, Sławomir - p. 39-50 , 2019

Link: https://doi.org/10.1007/..

7

A recommender system of reviewers and experts in reviewing ..:

Protasiewicz, Jarosław ; Pedrycz, Witold ; Kozłowski, Marek...
Knowledge-Based Systems. 106 (2016) - p. 164-178 , 2016

Link: https://doi.org/10.1016/..

8

OPI at SemEval 2023 Task 9: A Simple But Effective Approach..:

Dadas, Sławomir
http://arxiv.org/abs/2304.07130. , 2023

Link: http://arxiv.org/abs/230..

9

OPI at SemEval 2023 Task 1: Image-Text Embeddings and Multi..:

Dadas, Sławomir
http://arxiv.org/abs/2304.07127. , 2023

Link: http://arxiv.org/abs/230..

10

Information technology systems that support science and hig..:

Białas, Marcin ; Błaszczyk, Łukasz ; Dadas, Sławomir...
EUNIS 2023 Annual Conference. , 2023

Link: http://hdl.handle.net/11..

11

Training Effective Neural Sentence Encoders from Automatica..:

Dadas, Sławomir
http://arxiv.org/abs/2207.12759. , 2022

Link: http://arxiv.org/abs/220..

12

Pre-training Polish Transformer-based Language Models at Sc..:

Dadas, Sławomir ; Perełkiewicz, Michał ; Poświata, Rafał
http://arxiv.org/abs/2006.04229. , 2020

Link: http://arxiv.org/abs/200..

13

Evaluation of Sentence Representations in Polish:

Dadas, Sławomir ; Perełkiewicz, Michał ; Poświata, Rafał
http://arxiv.org/abs/1910.11834. , 2019

Link: http://arxiv.org/abs/191..

14

Combining neural and knowledge-based approaches to Named En..:

Dadas, Sławomir
http://arxiv.org/abs/1811.10418. , 2018

Link: http://arxiv.org/abs/181..

15

A Bidirectional Iterative Algorithm for Nested Named Entity..:

Slawomir Dadas ; Jaroslaw Protasiewicz
https://ieeexplore.ieee.org/document/9146650/. , 2020

Link: https://doi.org/10.1109/..