12 citations · 18 across the 8 of their papers we have counts for
8 papers
NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression
Tong Wu, Nicolay Rusnachenko, Huizhi Liang
Dimensional Aspect-Based Sentiment Analysis (DimABSA) extends traditional ABSA from categorical polarity labels to continuous valence-arousal (VA) regression. This paper describes…
Large Language Models in Targeted Sentiment Analysis
Nicolay Rusnachenko, Anton Golubev, Natalia Loukachevitch
In this paper we investigate the use of decoder-based generative transformers for extracting sentiment towards the named entities in Russian news articles. We study sentiment analy…
nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States
Nicolay Rusnachenko, Huizhi Liang
Emotion expression is one of the essential traits of conversations. It may be self-related or caused by another speaker. The variety of reasons may serve as a source of the further…
RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts
Anton Golubev, Nicolay Rusnachenko, Natalia Loukachevitch
The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis in Russian news texts. The task is to predict sentiment towards a named entity in a single s…
Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision
Nicolay Rusnachenko, Natalia Loukachevitch
In the sentiment attitude extraction task, the aim is to identify <<attitudes>> -- sentiment relations between entities mentioned in text. In this paper, we provide a study on atte…
Studying Attention Models in Sentiment Attitude Extraction Task
Nicolay Rusnachenko, Natalia Loukachevitch
In the sentiment attitude extraction task, the aim is to identify <<attitudes>> -- sentiment relations between entities mentioned in text. In this paper, we provide a study on atte…
Sentiment Frames for Attitude Extraction in Russian
Natalia Loukachevitch, Nicolay Rusnachenko
Texts can convey several types of inter-related information concerning opinions and attitudes. Such information includes the author's attitude towards mentioned entities, attitudes…
Extracting Sentiment Attitudes From Analytical Texts
Natalia Loukachevitch, Nicolay Rusnachenko
In this paper we present the RuSentRel corpus including analytical texts in the sphere of international relations. For each document we annotated sentiments from the author to ment…