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2020 – today
- 2022
[c15]Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov:
Speeding Up Entmax. NAACL-HLT (Findings) 2022: 1142-1158- [c14]Zhenisbek Assylbekov, Sultan Nurmukhamedov, Arsen Sheverdin, Thomas Mach:
From Hyperbolic Geometry Back to Word Embeddings. RepL4NLP@ACL 2022: 39-45 - [i12]Sultan Nurmukhamedov, Thomas Mach, Arsen Sheverdin, Zhenisbek Assylbekov:
From Hyperbolic Geometry Back to Word Embeddings. CoRR abs/2204.12481 (2022) - 2021
- [j4]Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov:
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. J. Artif. Intell. Res. 72: 1343-1384 (2021) - [j3]Abylay Zhumekenov
, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov:
Approximation error of Fourier neural networks. Stat. Anal. Data Min. 14(3): 258-270 (2021) - [c13]Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov:
Geometric Probing of Word Vectors. ESANN 2021 - [i11]Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov:
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. CoRR abs/2103.01819 (2021) - [i10]Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov:
Speeding Up Entmax. CoRR abs/2111.06832 (2021) - 2020
- [j2]Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro, Olzhas Kabdolov:
Fourier neural networks: A comparative study. Intell. Data Anal. 24(5): 1107-1120 (2020) - [c12]Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract). AAAI 2020: 13835-13836 - [c11]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI 2020: 13937-13938 - [c10]Zhenisbek Assylbekov, Alibi Jangeldin:
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. Australasian Conference on Artificial Intelligence 2020: 336-346 - [c9]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). IJCAI 2020: 5115-5119 - [i9]Zhenisbek Assylbekov, Alibi Jangeldin:
Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. CoRR abs/2002.12005 (2020)
2010 – 2019
- 2019
- [j1]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. J. Artif. Intell. Res. 66: 225-242 (2019) - [i8]Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro:
Fourier Neural Networks: A Comparative Study. CoRR abs/1902.03011 (2019) - [i7]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. CoRR abs/1902.09859 (2019) - [i6]Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov:
Low-Rank Approximation of Matrices for PMI-based Word Embeddings. CoRR abs/1909.09855 (2019) - [i5]Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings. CoRR abs/1909.13494 (2019) - [i4]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR abs/1912.13413 (2019) - 2018
- [c8]Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov:
Reproducing and Regularizing the SCRN Model. COLING 2018: 1705-1716 - [c7]Aibek Makazhanov, Bagdat Myrzakhmetov, Zhenisbek Assylbekov:
Manual vs Automatic Bitext Extraction. LREC 2018 - [c6]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-Aware Neural Language Models. NAACL-HLT 2018: 1413-1423 - [i3]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-aware Neural Language Models. CoRR abs/1802.08375 (2018) - 2017
- [c5]Alibi Jangeldin, Zhenisbek Assylbekov:
Simple and Accurate Method for Parallel Web Pages Detection. ACIIDS (1) 2017: 238-247 - [c4]Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington:
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. EMNLP 2017: 1866-1872 - [c3]Rustem Takhanov, Zhenisbek Assylbekov:
Patterns Versus Characters in Subword-Aware Neural Language Modeling. ICONIP (2) 2017: 157-166 - [i2]Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington:
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. CoRR abs/1707.06480 (2017) - [i1]Rustem Takhanov, Zhenisbek Assylbekov:
Patterns versus Characters in Subword-aware Neural Language Modeling. CoRR abs/1709.00541 (2017) - 2016
- [c2]Zhenisbek Assylbekov, Igor Melnykov, Rustam Bekishev, Assel Baltabayeva, Dariya Bissengaliyeva, Eldar Mamlin:
Detecting Value-Added Tax Evasion by Business Entities of Kazakhstan. KES-IDT (1) 2016: 37-49 - 2015
- [c1]Zhenisbek Assylbekov, Assulan Nurkas, Inês Russinho Mouga:
A Statistical Model for Measuring Structural Similarity between Webpages. RANLP 2015: 24-31
Coauthor Index
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last updated on 2022-10-05 00:06 CEST by the dblp team
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