activity
20192021
most citedRuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2021

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…

cs.CL20201 cited

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…

cs.CL2020

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…

cs.CL2020

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…

cs.CL2019

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…