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…
Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
Mikhail Tikhomirov, Natalia Loukachevitch
This article investigates a zero-shot approach to hypernymy prediction using large language models (LLMs). The study employs a method based on text probability calculation, applyin…
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…