activity
20192024
most citedRussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

49 citations · 190 across the 36 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.CL2022★ 19 cited

RuCoLA: Russian Corpus of Linguistic Acceptability

Vladislav Mikhailov, Tatiana Shamardina, Max Ryabinin +3

Linguistic acceptability (LA) attracts the attention of the research community due to its many uses, such as testing the grammatical knowledge of language models and filtering impl…

cs.CL2022★ 4 cited

TAPE: Assessing Few-shot Russian Language Understanding

Ekaterina Taktasheva, Tatiana Shavrina, Alena Fenogenova +11

Recent advances in zero-shot and few-shot learning have shown promise for a scope of research and practical purposes. However, this fast-growing area lacks standardized evaluation…

cs.LG2022★ 4 cited

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory

Mark Rofin, Vladislav Mikhailov, Mikhail Florinskiy +5

The development of state-of-the-art systems in different applied areas of machine learning (ML) is driven by benchmarks, which have shaped the paradigm of evaluating generalisation…

cs.CL2022

Template-based Approach to Zero-shot Intent Recognition

Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova +3

The recent advances in transfer learning techniques and pre-training of large contextualized encoders foster innovation in real-life applications, including dialog assistants. Prac…

cs.CL2022★ 13 cited

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

Tatiana Shamardina, Vladislav Mikhailov, Daniil Chernianskii +7

We present the shared task on artificial text detection in Russian, which is organized as a part of the Dialogue Evaluation initiative, held in 2022. The shared task dataset includ…

cs.CL2022★ 2 cited

RuNNE-2022 Shared Task: Recognizing Nested Named Entities

Ekaterina Artemova, Maxim Zmeev, Natalia Loukachevitch +4

The RuNNE Shared Task approaches the problem of nested named entity recognition. The annotation schema is designed in such a way, that an entity may partially overlap or even be ne…