49 citations · 190 across the 36 of their papers we have counts for
9 papers · 1 filter
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…
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain
Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura +4
We show-case an application of information extraction methods, such as named entity recognition (NER) and relation extraction (RE) to a novel corpus, consisting of documents, issue…
DaNetQA: a yes/no Question Answering Dataset for the Russian Language
Taisia Glushkova, Alexey Machnev, Alena Fenogenova +3
DaNetQA, a new question-answering corpus, follows (Clark et. al, 2019) design: it comprises natural yes/no questions. Each question is paired with a paragraph from Wikipedia and an…
ELMo and BERT in semantic change detection for Russian
Julia Rodina, Yuliya Trofimova, Andrey Kutuzov +1
We study the effectiveness of contextualized embeddings for the task of diachronic semantic change detection for Russian language data. Evaluation test sets consist of Russian noun…
So What's the Plan? Mining Strategic Planning Documents
Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya +5
In this paper we present a corpus of Russian strategic planning documents, RuREBus. This project is grounded both from language technology and e-government perspectives. Not only n…
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova +3
Neural Architecture Search (NAS) is a promising and rapidly evolving research area. Training a large number of neural networks requires an exceptional amount of computational power…
Data-driven models and computational tools for neurolinguistics: a language technology perspective
Ekaterina Artemova, Amir Bakarov, Aleksey Artemov +2
In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics. We present a review of brain imaging-based neurolinguistic st…
A Joint Approach to Compound Splitting and Idiomatic Compound Detection
Irina Krotova, Sergey Aksenov, Ekaterina Artemova
Applications such as machine translation, speech recognition, and information retrieval require efficient handling of noun compounds as they are one of the possible sources for out…
Word Sense Disambiguation for 158 Languages using Word Embeddings Only
Varvara Logacheva, Denis Teslenko, Artem Shelmanov +7
Disambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were developed t…