PROGRAM SYSTEMS: THEORY AND APPLICATIONS

12+

 

Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

2014 Issue 1
2014 Issue 2
2014 Issue 3
2014 Issue 4
2014 Issue 5

Papers are accepted in the form of a PDF file

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• Содержание выпуска •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Modelling •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •

Artificial Intelligence, Intelligence Systems, Neural Networks

Responsible for the Section: doctor of technical Sciences Vyacheslav Khachumov., candidate of technical Sciences Eugene Kurshev.

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 21_2014

26 p.

PDF

submitted on 15th Nov 2014 displayed on website on 09th Dec 2014

Suleymanova E.
An integrated approach to disambiguating relationalappositional constructions

The paper suggests a method for solving a common type of syntacticosemantic ambiguity, to be used as part of information extraction. The approach combines various intrasentential disambiguation methods with those based on
discourse constraints
. ( in Russian)


Key words: information extraction, syntactico-semantic ambiguity, discourse context.

article citation

http://psta.psiras.ru/read/psta2014_4_41-66.pdf

Article # 22_2014

16 p.

PDF

submitted on 15th Nov 2014 displayed on website on 15th Dec 2014

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

http://psta.psiras.ru/read/psta2014_4_67-82.pdf

Article # 31_2014

15 p.

PDF

submitted on 05th Nov 2014 displayed on website on 29th Dec 2014

Vinoradov A., Vozdvizhenskiy I., Kormalev D., Kurshev E.
The time aspect modelling of situation description for information extraction task

In this paper we give a brief overview of the state of the art in information extraction of time aspects from natural language texts. We introduce the main steps of such analysis. We analyze TimeML experience in event and time annotation. We study human interpretation of temporal expressions in the Russian-language news texts. (In Russian).


Key words: automatic information extraction, modal aspect, temporal information, temporal expressions, confusing temporal expressions, markup.

article citation

http://psta.psiras.ru/read/psta2014_4_215-229.pdf

Article # 32_2014

12 p.

PDF

submitted on 05th Dec 2014 displayed on website on 29th Dec 2014

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

http://psta.psiras.ru/read/psta2014_4_231-242.pdf

• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Modelling •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •

 

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