◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Elena Chistova

FRC CSC RAS

4 papers hereh-index 561 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • FRC CSC RAS

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedEnd-to-End Argument Mining over Varying Rhetorical Structures

2 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Bridging Discourse Treebanks with a Unified Rhetorical Structure Parser

Elena Chistova

We introduce UniRST, the first unified RST-style discourse parser capable of handling 18 treebanks in 11 languages without modifying their relation inventories. To overcome invento…

cs.CL2024★ 2 cited

Bilingual Rhetorical Structure Parsing with Large Parallel Annotations

Elena Chistova

Discourse parsing is a crucial task in natural language processing that aims to reveal the higher-level relations in a text. Despite growing interest in cross-lingual discourse par…

cs.CL2024★ 2 cited

End-to-End Argument Mining over Varying Rhetorical Structures

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.…

cs.CL2023

Light Coreference Resolution for Russian with Hierarchical Discourse Features

Elena Chistova, Ivan Smirnov

Coreference resolution is the task of identifying and grouping mentions referring to the same real-world entity. Previous neural models have mainly focused on learning span represe…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.