On annotating Russian texts for information extraction task
Автор: Vlasova Natalya Aleksandrovna
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Рубрика: Искусственный интеллект, интеллектуальные системы, нейронные сети
Статья в выпуске: 4 (22) т.5, 2014 года.
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In this paper we give a brief overview of the state of the art in information extraction from Russian-language texts. We analyze MUC and ACE experience in event annotation. We introduce and give the definition of a model of event mention. Event mention is a syntactically connected text fragment referring to a target event of a pre-specified type. Information about the target event extracted from an event mention is used to populate an intermediate-level structure. This is assumed to be a helpful way of dealing with a great variety of textual references to the same target event. Extracting information on retirements and appointments is taken as example to discuss the challenges of fact extraction from Russian-language text. (In Russian)
Automatic information extraction, factual information, markup, test corpora
Короткий адрес: https://sciup.org/14335999
IDR: 14335999