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 …

The objective of this controlled information retrieval (IR) user experiment is to gain an
understanding of domain experts’ interactions with novel search interfaces within the context of …

News articles often convey attitudes between the mentioned subjects, which is essential for
understanding the described situation. In this paper, we describe a new approach to distant …

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 …

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 …

Headline Generation is an essential task in Natural Language Processing (NLP), where
models often exhibit limited ability to accurately interpret numerals, leading to inaccuracies in …

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 …

In this paper we present an application of the specific neural network model for sentiment
attitude extraction without implementing handcrafted features. Given a mass-media article with …

Large texts that analyze a situation in some domain, for example politics or economy, usually
are full of opinions. In case of analytical articles, opinions usually are a kind of attitudes …

Texts can convey several types of inter-related information concerning opinions and attitudes.
Such information includes the author's attitude towards mentioned entities, attitudes of the …