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On October 16, 2026, HSE ICEF hosted the Eighth International Conference on Applied Economics. Held fully on-site, the conference brought researchers from HSE University, the New Economic School, Wuhan University, and Shandong University together in Moscow. The programme was organised around three overarching themes— ‘Environment, Resources and Policy,’ ‘Migration, Labour, and Communication,’ and ‘Consumption, Behaviour, and Climate—offering an opportunity to see how similar economic mechanisms operate in China, Pakistan, the United States, and Russia.
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Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing

Issue 7. Florence : Association for Computational Linguistics, 2019.
Пономарева М. А., Дроганова К. А., Smurov I., Shavrina T.

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 comprises data from various genres: news, fiction, social media and technical texts. The dataset was prepared for the Automatic Gapping Resolution Shared Task for Russian (AGRR-2019) - a competition aimed at stimulating the development of NLP tools and methods for processing of ellipsis. In this paper, we pay special attention to the gapping resolution methods that were introduced within the shared task as well as an alternative test set that illustrates that our corpus is a diverse and representative subset of Russian language gapping sufficient for effective utilization of machine learning techniques.

Research target: Philology and Linguistics Computer Science
Priority areas: humanitarian IT and mathematics
Language: English
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Keywords: corpus linguisticsNeural Language Processing (NLP)
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing
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