|
Program Systems: Theory and Applications, 2014, Volume 5, Issue 4, Pages 67–82
(Mi ps127)
|
|
|
|
This article is cited in 2 scientific papers (total in 2 papers)
Artificial Intelligence, Intelligent Systems, Neural Networks
On annotating Russian texts for information extraction task
Natalya Vlasova Program Systems Institute of RAS
Abstract:
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 and phrases:
automatic information extraction, factual information, test corpora, markup.
Received: 15.11.2014 Accepted: 15.12.2014
Citation:
Natalya Vlasova, “On annotating Russian texts for information extraction task”, Program Systems: Theory and Applications, 5:4 (2014), 67–82
Linking options:
https://www.mathnet.ru/eng/ps127 https://www.mathnet.ru/eng/ps/v5/i4/p67
|
Statistics & downloads: |
Abstract page: | 392 | Full-text PDF : | 88 | References: | 37 |
|