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ORCIDAleksander Smywinski-Pohl
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- affiliation: Jagiellonian University, Department of Computational Linguistics, Kraków, Poland
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2020 – today
- 2024
[c21]Aleksander Smywinski-Pohl
, Tomer Libal:
Enhancing Legal Argument Retrieval with Optimized Language Model Techniques. JSAI-isAI 2024: 93-108- [i5]Krzysztof Nowak, Jedrzej Ziebura, Krzysztof Wróbel, Aleksander Smywinski-Pohl:
eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey. CoRR abs/2407.00418 (2024) - 2023
- [c20]Lukasz Kobylinski, Maciej Ogrodniczuk, Piotr Rybak, Piotr Przybyla, Piotr Pezik, Agnieszka Mikolajczyk, Wojciech Janowski, Michal Marcinczuk, Aleksander Smywinski-Pohl:
PolEval 2022/23 Challenge Tasks and Results. FedCSIS 2023: 1243-1250 - [c19]Tomer Libal, Aleksander Smywinski-Pohl:
Giving Examples Instead of Answering Questions: Introducing Legal Concept-Example Systems. JURIX 2023: 287-292 - 2022
- [i4]Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, Mateusz Piech, Aleksander Smywinski-Pohl:
Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection. CoRR abs/2206.01889 (2022) - 2021
- [j5]Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski:
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density. Inf. Process. Manag. 58(5): 102616 (2021) - [j4]Joanna Misztal-Radecka, Bipin Indurkhya, Aleksander Smywinski-Pohl:
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems. User Model. User Adapt. Interact. 31(2): 261-286 (2021) - [c18]Aleksander Smywinski-Pohl, Mateusz Piech, Zbigniew Kaleta, Krzysztof Wróbel:
Automatic extraction of amendments from polish statutory law. ICAIL 2021: 225-229 - [i3]Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski:
Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density. CoRR abs/2111.01689 (2021) - 2020
- [j3]Mateusz Piech, Aleksander Smywinski-Pohl, Robert Marcjan, Leszek Siwik:
Towards Automatic Points of Interest Matching. ISPRS Int. J. Geo Inf. 9(5): 291 (2020) - [c17]Michal Jungiewicz, Aleksander Smywinski-Pohl:
Data Augmentation for Sentiment Analysis in English - The Online Approach. ICANN (2) 2020: 584-595
2010 – 2019
- 2019
- [j2]Michal Jungiewicz, Aleksander Smywinski-Pohl:
Towards textual data augmentation for neural networks: synonyms and maximum loss. Comput. Sci. 20(1) (2019) - [c16]Aleksander Smywinski-Pohl, Karol Lasocki, Krzysztof Wróbel, Marek Strzalta:
Automatic Construction of a Polish Legal Dictionary with Mappings to Extra-Legal Terms Established via Word Embeddings. ICAIL 2019: 234-238 - [c15]Aleksander Smywinski-Pohl, Krzysztof Wróbel, Karol Lasocki, Michal Jungiewicz:
Application of Character-Level Language Models in the Domain of Polish Statutory Law. JURIX 2019: 217-222 - [c14]Lukasz Kobylinski, Maciej Ogrodniczuk, Jan Kocon, Michal Marcinczuk, Aleksander Smywinski-Pohl, Krzysztof Wolk, Danijel Korzinek, Michal Ptaszynski, Agata Pieciukiewicz, Pawel Dybala:
Evaluating Natural Language Processing tools for Polish during PolEval 2019. LCT 2019: 303-321 - 2018
- [c13]Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Jerzy Duda, Aleksander Smywinski-Pohl:
Improving Text Classification with Vectors of Reduced Precision. ICAART (2) 2018: 531-538 - [i2]Michal Ptaszynski, Gniewosz Leliwa, Mateusz Piech, Aleksander Smywinski-Pohl:
Cyberbullying Detection - Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology. CoRR abs/1808.00926 (2018) - 2017
- [i1]Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Aleksander Smywinski-Pohl:
Improving text classification with vectors of reduced precision. CoRR abs/1706.06363 (2017) - 2016
- [j1]Aleksander Smywinski-Pohl, Bartosz Ziólko:
Application of Morphosyntactic and Class-Based Language Models in Automatic Speech Recognition of Polish. Int. J. Artif. Intell. Tools 25(2): 1650006:1-1650006:24 (2016) - [c12]Krzysztof Wróbel, Maciej Wielgosz, Aleksander Smywinski-Pohl, Marcin Pietron:
Comparison of SVM and Ontology-Based Text Classification Methods. ICAISC (1) 2016: 667-680 - 2015
- [c11]Sebastian Dziadzio, Aleksandra Nabozny, Aleksander Smywinski-Pohl, Bartosz Ziólko:
Comparison of language models trained on written texts and speech transcripts in the context of automatic speech recognition. FedCSIS 2015: 193-197 - [c10]Aleksander Smywinski-Pohl, Krzysztof Wróbel:
Automatic mapping of Wikipedia categories into OpenCyc types. OM 2015: 232-233 - 2014
- [c9]Aleksander Smywinski-Pohl, Krzysztof Wróbel:
The importance of cross-lingual information for matching Wikipedia with the Cyc ontology. OM 2014: 176-177 - 2013
- [c8]Aleksander Smywinski-Pohl:
Knowledge-based Named Entity Recognition in Polish. FedCSIS 2013: 145-151 - [c7]Aleksander Smywinski-Pohl, Bartosz Ziólko:
A Revised Comparison of Polish Taggers in the Application for Automatic Speech Recognition. LTC 2013: 68-81 - [c6]Aleksander Smywinski-Pohl, Bartosz Ziólko:
Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish. MLDM 2013: 492-504 - 2012
- [c5]Aleksander Smywinski-Pohl:
Improving Wikipedia Miner Word Sense Disambiguation Algorithm . FedCSIS 2012: 241-248 - [c4]Aleksander Pohl:
Classifying the Wikipedia Articles into the OpenCyc Taxonomy. WoLE@ISWC 2012: 5-16 - 2011
- [c3]Aleksander Smywinski-Pohl:
An Ontology-Based Method for an Efficient Acquisition of Relation Extraction Training and Testing Examples. SIIS 2011: 318-331 - 2010
- [c2]Aleksander Smywinski-Pohl:
The Polish Cyc lexicon as a bridge between Polish language and the Semantic Web. IMCSIT 2010: 485-492 - [c1]Aleksander Smywinski-Pohl:
The Polish Interface for Linked Open Data. ISWC (Posters & Demos) 2010
Coauthor Index
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