Search Results for author: Elena Chistova

Found 4 papers, 2 papers with code

End-to-End Argument Mining over Varying Rhetorical Structures

1 code implementation20 Jan 2024 Elena Chistova

Rhetorical Structure Theory implies no single discourse interpretation of a text, and the limitations of RST parsers further exacerbate inconsistent parsing of similar structures.

Argument Mining Dependency Parsing

Light Coreference Resolution for Russian with Hierarchical Discourse Features

1 code implementation2 Jun 2023 Elena Chistova, Ivan Smirnov

Our best model employing rhetorical distance between mentions has ranked 1st on the development set (74. 6% F1) and 2nd on the test set (73. 3% F1) of the Shared Task.

coreference-resolution Language Modelling

Towards the Data-driven System for Rhetorical Parsing of Russian Texts

no code implementations WS 2019 Artem Shelmanov, Dina Pisarevskaya, Elena Chistova, Svetlana Toldova, Maria Kobozeva, Ivan Smirnov

Results of the first experimental evaluation of machine learning models trained on Ru-RSTreebank {--} first Russian corpus annotated within RST framework {--} are presented.

BIG-bench Machine Learning Classification +3

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