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Petr Sojka
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Publications
- 2022
- [j6]Vít Novotný, Michal Stefánik, Eniafe Festus Ayetiran, Petr Sojka, Radim Rehurek:
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. J. Univers. Comput. Sci. 28(2): 181-201 (2022) - [c52]Michal Stefánik, Vít Novotný, Nikola Groverová, Petr Sojka:
Adaptor: Objective-Centric Adaptation Framework for Language Models. ACL (demo) 2022: 261-269 - [i19]Michal Stefánik, Vít Novotný, Nikola Groverová, Petr Sojka:
AdaptOr: Objective-Centric Adaptation Framework for Language Models. CoRR abs/2203.03989 (2022) - 2021
- [j5]Eniafe Festus Ayetiran, Petr Sojka, Vít Novotný:
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. Knowl. Based Syst. 219: 106902 (2021) - [c47]Vít Novotný, Michal Stefánik, Dávid Lupták, Martin Geletka, Petr Zelina, Petr Sojka:
Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. CLEF (Working Notes) 2021: 82-106 - [c46]Dávid Lupták, Vít Novotný, Michal Stefánik, Petr Sojka:
WebMIaS on Docker - Deploying Math-Aware Search in a Single Line of Code. CICM 2021: 159-164 - [c45]Martin Líska, Dávid Lupták, Vít Novotný, Michal Ruzicka, Boris Shminke, Petr Sojka, Michal Stefánik, Makarius Wenzel:
CICM'21 Systems Entries. CICM 2021: 245-248 - [c44]Vít Novotný, Eniafe Festus Ayetiran, Dalibor Bacovský, Dávid Lupták, Michal Stefánik, Petr Sojka:
One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages. RANLP 2021: 1068-1074 - [c43]Mikulás Bankovic, Vít Novotný, Petr Sojka:
Application of Super-Resolution Models in Optical Character Recognition of Czech Medieval Texts. RASLAN 2021: 11-18 - [c41]Michal Stefánik, Vít Novotný, Petr Sojka:
Regressive Ensemble for Machine Translation Quality Evaluation. WMT@EMNLP 2021: 1041-1048 - [i16]Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik, Petr Sojka:
One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. CoRR abs/2102.02585 (2021) - [i15]Eniafe Festus Ayetiran, Petr Sojka, Vít Novotný:
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. CoRR abs/2103.00232 (2021) - [i14]Vít Novotný, Michal Stefánik, Eniafe Festus Ayetiran, Petr Sojka:
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. CoRR abs/2104.09691 (2021) - [i13]Dávid Lupták, Vít Novotný, Michal Stefánik, Petr Sojka:
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code. CoRR abs/2106.00411 (2021) - [i12]Michal Stefánik, Vít Novotný, Petr Sojka:
Regressive Ensemble for Machine Translation Quality Evaluation. CoRR abs/2109.07242 (2021) - 2020
- [c40]Vít Novotný, Petr Sojka, Michal Stefánik, Dávid Lupták:
Three is Better than One: Ensembling Math Information Retrieval Systems. CLEF (Working Notes) 2020 - [c39]Vít Novotný, Michal Stefánik, Dávid Lupták, Petr Sojka:
Towards Useful Word Embeddings. RASLAN 2020: 37-46 - [i10]Vít Novotný, Eniafe Festus Ayetiran, Michal Stefánik, Petr Sojka:
Text classification with word embedding regularization and soft similarity measure. CoRR abs/2003.05019 (2020) - 2019
- [c37]Petr Sojka, Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik:
Quo Vadis, Math Information Retrieval. RASLAN 2019: 117-128 - 2018
- [c36]Petr Sojka, Michal Ruzicka, Vít Novotný:
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. CIKM 2018: 1923-1926 - [c35]Vít Novotný, Petr Sojka:
Weighting of Passages in Question Answering. RASLAN 2018: 31-40 - [i9]Petr Sojka, Michal Ruzicka, Vít Novotný:
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. CoRR abs/1808.09224 (2018) - 2017
- [c32]Jan Rygl, Jan Pomikálek, Radim Rehurek, Michal Ruzicka, Vít Novotný, Petr Sojka:
Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines. Rep4NLP@ACL 2017: 81-90 - [c31]Michal Ruzicka, Vít Novotný, Petr Sojka, Jan Pomikálek, Radim Rehurek:
Flexible Similarity Search of Semantic Vectors Using Fulltext Search Engines. HybridSemStats@ISWC 2017 - [i7]Jan Rygl, Jan Pomikálek, Radim Rehurek, Michal Ruzicka, Vít Novotný, Petr Sojka:
Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines. CoRR abs/1706.00957 (2017)
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