Semantic Paraphrasing for Information Retrieval and Extraction
Semantic Paraphrasing for Information Retrieval and Extraction
复制标题
用于信息检索和提取的语义释义
DOI：
10.1007/978-3-642-04957-6_44
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
S. Timoshenko
中科院分区：
文献类型：
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作者：
Jurij D. Apresjan;I. Boguslavsky;L. Iomdin;L. L. Cinman;S. Timoshenko
本文致力于开发一个同义和准同义释义系统及其实际应用，首先在搜索引擎优化和信息抽取领域。该系统是由Kharkevich信息传输问题研究所计算语言学实验室创建的ETAP-3多功能NLP环境的一部分。ETAP-3以俄、英等多种语言的组合词典和规则驱动的语法分析器为核心，并提供多种生成模块。基于词法函数的释义生成器就是这样一个模块。我们描述的释义生成器的总体布局，并讨论了实验，证明其作为搜索优化的工具的潜力。
The paper is devoted to the development of a system of synonymous and quasi-synonymous paraphrasing and its practical applications, first of all in the domain of search engine optimization and information extraction. This system is part of the ETAP-3 multifunctional NLP environment created by the Laboratory of Computational Linguistics of the Kharkevich Institute for Information Transmission Problems. Combinatorial dictionaries of Russian, English and some other languages and a rule-driven parser constitute the core of ETAP-3 while a variety of generating modules are used in a number of applications. The paraphrase generator, based on the apparatus of lexical functions, is one such module. We describe the general layout of the paraphrase generator and discuss an experiment that demonstrates its potential as a tool for search optimization.