Введение: в последние годы анализ тональности, или сентимент-анализ,
высказываний пользователей находит практическое применение во многих областях …

The paper describes the new Russian sentiment lexicon-RuSentiLex. The lexicon was
gathered from several sources: opinionated words from domain-oriented Russian sentiment …

We present a formal Arabic wordnet built on the basis of a carefully designed ontology
hereby referred to as the Arabic Ontology. The ontology provides a formal representation of …

In this article we consider a two-stage prediction approach for named entity recognition in
Russian. In the first stage, named entities are extracted by a machine learning method. After …

This paper describes the results of the first shared task on taxonomy enrichment for the
Russian language. The participants were asked to extend an existing taxonomy with …

Sentiment lexicons play an important role in the systems of sentiment analysis and opinion
mining. The article takes a look into eight publicly available Russian sentiment lexicons of …

Current machine-learning approaches for information extraction often include features
based on large volumes of knowledge in form of gazetteers, word clusters, etc. In this paper …

Automatic sentiment analysis of texts, that is, the identification of the author's opinion about
the subject discussed in the text, has been one of the most significant tasks in natural …

В данной статье описан новый лексикон оценочных слов и выражений русского языка
РуСентиЛекс. Данный лексикон был собран из нескольких источников: оценочные …

Automatic event extraction form text is an important step in knowledge acquisition and
knowledge base population. Manual work in development of extraction system is …