论文标题
俄罗斯的态度提取的情感框架
Sentiment Frames for Attitude Extraction in Russian
论文作者
论文摘要
文本可以传达几种有关观点和态度的相互关联信息。这些信息包括作者对上述实体的态度，对彼此实体的态度，对所描述情况下实体的积极和负面影响。在本文中，我们描述了俄罗斯的词典rusentiframes，其中收集了谓词单词和表情，并与所谓的情感框架相关联，传达了几种类型的有关态度和效果的预设信息。我们应用了创建的框架，以从大型新闻集中提取态度。
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 entities towards each other, positive and negative effects on the entities in the described situations. In this paper, we described the lexicon RuSentiFrames for Russian, where predicate words and expressions are collected and linked to so-called sentiment frames conveying several types of presupposed information on attitudes and effects. We applied the created frames in the task of extracting attitudes from a large news collection.
