activity
20192023
most citedRussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

49 citations · 86 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 4 cited

Startup success prediction and VC portfolio simulation using CrunchBase data

Mark Potanin, Andrey Chertok, Konstantin Zorin +1

Predicting startup success presents a formidable challenge due to the inherently volatile landscape of the entrepreneurial ecosystem. The advent of extensive databases like Crunchb…

cs.CL2022

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Michael Vasilkovsky, Anton Alekseev, Valentin Malykh +6

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 no…

cs.CV2022★ 1 cited

RuCLIP -- new models and experiments: a technical report

Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov +10

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-…

cs.CV2021

Handwritten text generation and strikethrough characters augmentation

Alex Shonenkov, Denis Karachev, Max Novopoltsev +3

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-r…

cs.CL2020★ 49 cited

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

Tatiana Shavrina, Alena Fenogenova, Anton Emelyanov +7

In this paper, we introduce an advanced Russian general language understanding evaluation benchmark -- RussianGLUE. Recent advances in the field of universal language models and tr…

cs.CL2019★ 32 cited

SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis

Pavel Efimov, Andrey Chertok, Leonid Boytsov +1

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 g…