Ekaterina Artemova

research

∙ 09/04/2023

Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?

Instruction-tuning has become an integral part of training pipelines for...

0 Leon Weber-Genzel, et al. ∙

research

∙ 05/09/2023

Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data

Transferring information retrieval (IR) models from a high-resource lang...

0 Robert Litschko, et al. ∙

research

∙ 04/19/2023

Low-resource Bilingual Dialect Lexicon Induction with Large Language Models

Bilingual word lexicons are crucial tools for multilingual natural langu...

0 Ekaterina Artemova, et al. ∙

research

∙ 04/04/2023

Can BERT eat RuCoLA? Topological Data Analysis to Explain

This paper investigates how Transformer language models (LMs) fine-tuned...

0 Irina Proskurina, et al. ∙

research

∙ 10/23/2022

RuCoLA: Russian Corpus of Linguistic Acceptability

Linguistic acceptability (LA) attracts the attention of the research com...

0 Vladislav Mikhailov, et al. ∙

research

∙ 10/23/2022

TAPE: Assessing Few-shot Russian Language Understanding

Recent advances in zero-shot and few-shot learning have shown promise fo...

0 Ekaterina Taktasheva, et al. ∙

research

∙ 10/11/2022

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

The development of state-of-the-art systems in different applied areas o...

0 Mark Rofin, et al. ∙

research

∙ 06/22/2022

Template-based Approach to Zero-shot Intent Recognition

The recent advances in transfer learning techniques and pre-training of ...

0 Dmitry Lamanov, et al. ∙

research

∙ 06/03/2022

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

We present the shared task on artificial text detection in Russian, whic...

0 Tatiana Shamardina, et al. ∙

research

∙ 05/23/2022

RuNNE-2022 Shared Task: Recognizing Nested Named Entities

The RuNNE Shared Task approaches the problem of nested named entity reco...

0 Ekaterina Artemova, et al. ∙

research

∙ 05/19/2022

Acceptability Judgements via Examining the Topology of Attention Maps

The role of the attention mechanism in encoding linguistic knowledge has...

0 Daniil Cherniavskii, et al. ∙

research

∙ 02/15/2022

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models

In the last year, new neural architectures and multilingual pre-trained ...

0 Alena Fenogenova, et al. ∙

research

∙ 01/24/2022

Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"

The vast majority of existing datasets for Named Entity Recognition (NER...

0 Timofey Atnashev, et al. ∙

research

∙ 09/29/2021

Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models

Practical needs of developing task-oriented dialogue assistants require ...

0 Alexey Birshert, et al. ∙

research

∙ 09/28/2021

Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations

Recent research has adopted a new experimental field centered around the...

0 Ekaterina Taktasheva, et al. ∙

research

∙ 09/10/2021

Artificial Text Detection via Examining the Topology of Attention Maps

The impressive capabilities of recent generative models to create texts ...

0 Laida Kushnareva, et al. ∙

research

∙ 08/30/2021

NEREL: A Russian Dataset with Nested Named Entities, Relations and Events

In this paper, we present NEREL, a Russian dataset for named entity reco...

0 Natalia Loukachevitch, et al. ∙

research

∙ 08/16/2021

A Single Example Can Improve Zero-Shot Data Generation

Sub-tasks of intent classification, such as robustness to distribution s...

0 Pavel Burnyshev, et al. ∙

research

∙ 07/23/2021

A Differentiable Language Model Adversarial Attack on Text Classifiers

Robustness of huge Transformer-based models for natural language process...

0 Ivan Fursov, et al. ∙

research

∙ 04/29/2021

MOROCCO: Model Resource Comparison Framework

The new generation of pre-trained NLP models push the SOTA to the new li...

0 Valentin Malykh, et al. ∙

research

∙ 04/26/2021

Morph Call: Probing Morphosyntactic Content of Multilingual Transformers

The outstanding performance of transformer-based language models on a gr...

3 Vladislav Mikhailov, et al. ∙

research

∙ 04/26/2021

Teaching a Massive Open Online Course on Natural Language Processing

This paper presents a new Massive Open Online Course on Natural Language...

0 Ekaterina Artemova, et al. ∙

research

∙ 02/28/2021

RuSentEval: Linguistic Source, Encoder Force!

The success of pre-trained transformer language models has brought a gre...

0 Vladislav Mikhailov, et al. ∙

research

∙ 01/20/2021

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates

Annotating training data for sequence tagging tasks is usually very time...

0 Artem Shelmanov, et al. ∙

research

∙ 01/11/2021

Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection

Real-life applications, heavily relying on machine learning, such as dia...

0 Alexander Podolskiy, et al. ∙

research

∙ 10/29/2020

RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain

We show-case an application of information extraction methods, such as n...

6 Vitaly Ivanin, et al. ∙

research

∙ 10/29/2020

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

In this paper, we introduce an advanced Russian general language underst...

0 Tatiana Shavrina, et al. ∙

research

∙ 10/07/2020

ELMo and BERT in semantic change detection for Russian

We study the effectiveness of contextualized embeddings for the task of ...

0 Julia Rodina, et al. ∙

research

∙ 10/06/2020

DaNetQA: a yes/no Question Answering Dataset for the Russian Language

DaNetQA, a new question-answering corpus, follows (Clark et. al, 2019) d...

0 Taisia Glushkova, et al. ∙

research

∙ 07/01/2020

So What's the Plan? Mining Strategic Planning Documents

In this paper we present a corpus of Russian strategic planning document...

0 Ekaterina Artemova, et al. ∙

research

∙ 07/01/2020

So What's the Plan? Mining Strategic Planning Document

In this paper we present a corpus of Russian strategic planning document...

0 Ekaterina Artemova, et al. ∙

research

∙ 06/12/2020

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing

Neural Architecture Search (NAS) is a promising and rapidly evolving res...

0 Nikita Klyuchnikov, et al. ∙

research

∙ 03/23/2020

Data-driven models and computational tools for neurolinguistics: a language technology perspective

In this paper, our focus is the connection and influence of language tec...

0 Ekaterina Artemova, et al. ∙

research

∙ 03/21/2020

A Joint Approach to Compound Splitting and Idiomatic Compound Detection

Applications such as machine translation, speech recognition, and inform...

0 Irina Krotova, et al. ∙

research

∙ 03/14/2020

Word Sense Disambiguation for 158 Languages using Word Embeddings Only

Disambiguation of word senses in context is easy for humans, but is a ma...

0 Varvara Logacheva, et al. ∙

research

∙ 11/08/2019

Char-RNN and Active Learning for Hashtag Segmentation

We explore the abilities of character recurrent neural network (char-RNN...

0 Taisiya Glushkova, et al. ∙

research

∙ 10/29/2019

Sentence Embeddings for Russian NLU

We investigate the performance of sentence embeddings models on several ...

0 Dmitry Popov, et al. ∙

research

∙ 06/21/2019

Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF

In this paper we tackle multilingual named entity recognition task. We u...

0 Anton A. Emelyanov, et al. ∙

Ekaterina Artemova

Featured Co-authors