Information Retrieval System for News Articles in Russian
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Information Retrieval System for News Articles in Russian
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| Автор |
Zharikov, A.
Kristalovsky, K. Pivovarov, V. |
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| Тематика |
COMPUTATIONAL LINGUISTICS
NATURAL LANGUAGE PROCESSING INFORMATION RETRIEVAL |
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| Описание |
We present a description of the natural language processing system developed for information retrieval project scan.interfax.ru. The system should process news articles in Russian and retrieve as much information as possible about persons, organizations or other text objects mentioned there. The conceptual system idea is to process and “understand” documents without using any time dependent named object databases. The system should retrieve and interpret person names, organizations, geography and some other text structures. And only on the second stage — to make identification of retrieved named objects via database. The resulting information is used in Scan project to allow complex-query search of news articles, to fill a named object database in automatic manner and to provide information for analytical services. We discuss functionality of the system, main approach ideas used and challenges to be resolved in future work. The article mostly covers entity extraction procedure and fact extraction mechanics. The problems of geography entity extraction are discussed particularly. |
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| Дата |
2011-10-12T09:20:19Z
2011-10-12T09:20:19Z 2011 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
Zharikov A. Information Retrieval System for News Articles in Russian / A. Zharikov, K. Kristalovsky, V. Pivovarov // Web of Data: The joint RuSSIR/EDBT 2011 Summer School, August 15–19, 2011, Proceedings of the Fifth Russian Young Scientists Conference in Information Retrieval / B. Novikov, P. Braslavsky (Eds.). — St. Petersburg, 2011 — P. 5-14.
978-5-288-05225-5 http://elar.urfu.ru/handle/10995/3707 |
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| Язык |
en
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| Связанные ресурсы |
RuSSIR/EDBT2011
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| Формат |
217719 bytes
application/pdf |
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| Издатель |
St. Petersburg University Press
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