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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...
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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...
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04/19/2023
Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
Bilingual word lexicons are crucial tools for multilingual natural langu...
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04/04/2023
Can BERT eat RuCoLA? Topological Data Analysis to Explain
This paper investigates how Transformer language models (LMs) fine-tuned...
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10/23/2022
RuCoLA: Russian Corpus of Linguistic Acceptability
Linguistic acceptability (LA) attracts the attention of the research com...
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10/23/2022
TAPE: Assessing Few-shot Russian Language Understanding
Recent advances in zero-shot and few-shot learning have shown promise fo...
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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...
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06/22/2022
Template-based Approach to Zero-shot Intent Recognition
The recent advances in transfer learning techniques and pre-training of ...
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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...
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05/23/2022
RuNNE-2022 Shared Task: Recognizing Nested Named Entities
The RuNNE Shared Task approaches the problem of nested named entity reco...
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05/19/2022
Acceptability Judgements via Examining the Topology of Attention Maps
The role of the attention mechanism in encoding linguistic knowledge has...
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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 ...
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01/24/2022
Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"
The vast majority of existing datasets for Named Entity Recognition (NER...
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09/29/2021
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models
Practical needs of developing task-oriented dialogue assistants require ...
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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...
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09/10/2021
Artificial Text Detection via Examining the Topology of Attention Maps
The impressive capabilities of recent generative models to create texts ...
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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...
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08/16/2021
A Single Example Can Improve Zero-Shot Data Generation
Sub-tasks of intent classification, such as robustness to distribution s...
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07/23/2021
A Differentiable Language Model Adversarial Attack on Text Classifiers
Robustness of huge Transformer-based models for natural language process...
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04/29/2021
MOROCCO: Model Resource Comparison Framework
The new generation of pre-trained NLP models push the SOTA to the new li...
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04/26/2021
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
The outstanding performance of transformer-based language models on a gr...
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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...
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02/28/2021
RuSentEval: Linguistic Source, Encoder Force!
The success of pre-trained transformer language models has brought a gre...
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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...
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01/11/2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Real-life applications, heavily relying on machine learning, such as dia...
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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...
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10/29/2020
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
In this paper, we introduce an advanced Russian general language underst...
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10/07/2020
ELMo and BERT in semantic change detection for Russian
We study the effectiveness of contextualized embeddings for the task of ...
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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...
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07/01/2020
So What's the Plan? Mining Strategic Planning Documents
In this paper we present a corpus of Russian strategic planning document...
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07/01/2020
So What's the Plan? Mining Strategic Planning Document
In this paper we present a corpus of Russian strategic planning document...
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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...
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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...
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03/21/2020
A Joint Approach to Compound Splitting and Idiomatic Compound Detection
Applications such as machine translation, speech recognition, and inform...
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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...
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11/08/2019
Char-RNN and Active Learning for Hashtag Segmentation
We explore the abilities of character recurrent neural network (char-RNN...
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10/29/2019
Sentence Embeddings for Russian NLU
We investigate the performance of sentence embeddings models on several ...
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06/21/2019
