Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chertok Andrey"'
Predicting startup success presents a formidable challenge due to the inherently volatile landscape of the entrepreneurial ecosystem. The advent of extensive databases like Crunchbase jointly with available open data enables the application of machin
Externí odkaz:
http://arxiv.org/abs/2309.15552
Autor:
Vasilkovsky, Michael, Alekseev, Anton, Malykh, Valentin, Shenbin, Ilya, Tutubalina, Elena, Salikhov, Dmitriy, Stepnov, Mikhail, Chertok, Andrey, Nikolenko, Sergey
State of the art neural methods for open information extraction (OpenIE) usually extract triplets (or tuples) iteratively in an autoregressive or predicate-based manner in order not to produce duplicates. In this work, we propose a different approach
Externí odkaz:
http://arxiv.org/abs/2206.12514
Autor:
Shonenkov, Alex, Kuznetsov, Andrey, Dimitrov, Denis, Shavrina, Tatyana, Chesakov, Daniil, Maltseva, Anastasia, Fenogenova, Alena, Pavlov, Igor, Emelyanov, Anton, Markov, Sergey, Bakshandaeva, Daria, Shybaeva, Vera, Chertok, Andrey
In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-MT) on 16 datasets from different domains. Our best implementations ou
Externí odkaz:
http://arxiv.org/abs/2202.10784
Autor:
Shonenkov, Alex, Karachev, Denis, Novopoltsev, Max, Potanin, Mark, Dimitrov, Denis, Chertok, Andrey
We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate (WER) and Character Error Rate (CER) beyond best-reported results on handwriting text recognition (HTR) tasks. We apply
Externí odkaz:
http://arxiv.org/abs/2112.07395
Recently, deep learning has achieved promising results in the calculation of Estimated Time of Arrival (ETA), which is considered as predicting the travel time from the start point to a certain place along a given path. ETA plays an essential role in
Externí odkaz:
http://arxiv.org/abs/2110.04228
Autor:
Shavrina, Tatiana, Fenogenova, Alena, Emelyanov, Anton, Shevelev, Denis, Artemova, Ekaterina, Malykh, Valentin, Mikhailov, Vladislav, Tikhonova, Maria, Chertok, Andrey, Evlampiev, Andrey
In this paper, we introduce an advanced Russian general language understanding evaluation benchmark -- RussianGLUE. Recent advances in the field of universal language models and transformers require the development of a methodology for their broad di
Externí odkaz:
http://arxiv.org/abs/2010.15925
SberQuAD -- a large scale analog of Stanford SQuAD in the Russian language - is a valuable resource that has not been properly presented to the scientific community. We fill this gap by providing a description, a thorough analysis, and baseline exper
Externí odkaz:
http://arxiv.org/abs/1912.09723
Autor:
Karachev Denis, Chertok Andrey, Novopoltsev Maxim, Potanin Mark, Dimitrov Denis, Shonenkov Alex, Bataev Vladimir
Publikováno v:
HIP@ICDAR
This paper presents a new dataset of Peter the Great’s manuscripts and describes a segmentation procedure that converts initial images of documents into lines. This new dataset may be useful for researchers to train handwriting text recognition mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4d862e590805791cf9f1c55c6137e05
https://doi.org/10.1145/3476887.3476892
https://doi.org/10.1145/3476887.3476892
Autor:
Chertok Andrey, Lukyanitsa Andrey
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper studies the point correspondence problem for which a diversity of qualitative and statistical solutions exist. Most of them use local optimizations between neighboring frames to determine trajectories for moving points. We present improved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb13a9b01755ac694aba6a50cac52e3
https://doi.org/10.1109/cec.2009.4983059
https://doi.org/10.1109/cec.2009.4983059
Publikováno v:
AIP Conference Proceedings; 2015, Vol. 1648 Issue 1, p1-4, 4p