16 citations · 17 across the 5 of their papers we have counts for
5 papers
SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)
Liang-Chih Yu, Jonas Becker, Shamsuddeen Hassan Muhammad +14
We present the SemEval-2026 shared task on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which improves traditional ABSA by modeling sentiment along valence-arousal (VA) d…
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…
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…
RuArg-2022: Argument Mining Evaluation
Evgeny Kotelnikov, Natalia Loukachevitch, Irina Nikishina +1
Argumentation analysis is a field of computational linguistics that studies methods for extracting arguments from texts and the relationships between them, as well as building argu…
Transfer Learning for Improving Results on Russian Sentiment Datasets
Anton Golubev, Natalia Loukachevitch
In this study, we test transfer learning approach on Russian sentiment benchmark datasets using additional train sample created with distant supervision technique. We compare sever…