19 citations · 33 across the 5 of their papers we have counts for
7 papers
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…
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…
Russian News Clustering and Headline Selection Shared Task
Ilya Gusev, Ivan Smurov
This paper presents the results of the Russian News Clustering and Headline Selection shared task. As a part of it, we propose the tasks of Russian news event detection, headline s…
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…
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification
Ilya Dimov, Vladislav Korzun, Ivan Smurov
This paper describes our contribution to SemEval-2020 Task 11: Detection Of Propaganda Techniques In News Articles. We start with simple LSTM baselines and move to an autoregressiv…
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…
AGRR-2019: A Corpus for Gapping Resolution in Russian
Maria Ponomareva, Kira Droganova, Ivan Smurov +1
This paper provides a comprehensive overview of the gapping dataset for Russian that consists of 7.5k sentences with gapping (as well as 15k relevant negative sentences) and compri…