Towards the data-driven system for rhetorical parsing of Russian texts
Results of the first experimental evaluation of machine learning models trained on Ru-
RSTreebank–first Russian corpus annotated within RST framework–are presented. Various …
RSTreebank–first Russian corpus annotated within RST framework–are presented. Various …
Classification models for RST discourse parsing of texts in Russian
The paper considers the task of automatic discourse parsing of texts in Russian. Discourse
parsing is a well-known approach to capturing text semantics across boundaries of single …
parsing is a well-known approach to capturing text semantics across boundaries of single …
Contrast and comparison relations in RsT framework: The case of Russian1
S Toldova, T Davydova, M Kobozeva… - … 'juternaja Lingvistika i …, 2019 - elibrary.ru
The Paper is devoted to a corpus study of the Contrast relation between discourse units in
Russian. It is based on the data of the Ru-RSTreebank annotated within the framework of …
Russian. It is based on the data of the Ru-RSTreebank annotated within the framework of …
Automatic Mining of Cause-Effect Discourse Connectives for Russian
D Pisarevskaya, M Kobozeva, Y Petukhova… - … Conference on Digital …, 2019 - Springer
Study of cause-effect discourse connectives can help in automated discourse processing
and automatic identification of argument units. Besides conjunctions and other functional …
and automatic identification of argument units. Besides conjunctions and other functional …
[引用][C] Classification Models for RST Discourse Parsing of Texts in Russian
C EV, S AO, K MV, P DB, S IV, SY Toldova