1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…