Artificial Intelligence, Intelligence Systems, Neural Networks

Article # 22_2014

16 p.

PDF

Vlasova N.
On annotating Russian texts for information extraction task

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).

Key words: automatic information extraction, factual information, test corpora, markup.

article citation

Article # 32_2014

12 p.

PDF

Vlasova N.
On one problem of automatic information extraction from Russian texts

In this paper we consider a problem of matching temporal expressions and target events. The target events are appointments and resignations. We introduce a set of rules to make this matching. We give the results on a test collection of Russian news texts. (In Russian).

Key words: automatic information extraction, temporal expressions, events, time aspect, test corpora.

article citation