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METHODS OF SPEECH AND TEXT DATABASES DEVELOPMENT FOR QA-SYSTEMS

МЕТОДЫ СОЗДАНИЯ РЕЧЕВЫХ И ТЕКСТОВЫХ БАЗ ДАННЫХ ВОПРОСНО-ОТВЕТНЫХ СИСТЕМ
Authors: A.L. Ronzhin; A.A. Zaytseva; S.V. Kuleshov; K.V. Nenausnikov;

METHODS OF SPEECH AND TEXT DATABASES DEVELOPMENT FOR QA-SYSTEMS

Abstract

А.Л. Ронжин, А.А. Зайцева, С.В. Кулешов, К.В. Ненаусников Санкт-Петербургский институт информатики и автоматизации Российской академии наук, г. Санкт-Петербург, Россия E-mail: ronzhin@iias.spb.su. A.L. Ronzhin, A.A. Zaytseva, S.V. Kuleshov, K.V. Nenausnikov Saint-Petersburg Institute for Informatics and Automation of Russian Academy of Science, Saint-Petersburg, Russian Federation E-mail: ronzhin@iias.spb.su

Country
Russian Federation
Keywords

автоматическая обработка текста, УДК 004.89, speech recognition, текст на естественном языке, associative-ontological analysis, automatic text processing, УДК 51-7, ассоциативно-онтологический подход, question-answer pair, вопросно-ответная пара, text, распознавание речи, natural language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold