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首页> 外文期刊>DESIDOC Journal of Library Information Technology >Implicit Semantic Relations Identification through Distributed Representations for Effective Text Retrieval
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Implicit Semantic Relations Identification through Distributed Representations for Effective Text Retrieval

机译：通过分布式表示进行隐式语义关系识别以有效检索文本

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The modern commercial search methods have proved the efficiency of information retrieval (IR) technologies and made knowledge dissemination simpler where as finding the relevant text documents, given a query, is becoming much more complex day after day. Almost all information retrieval systems struggle to retrieve relevant entries on the top of ranked list of documents. Users are interested to retrieve the content satisfying their information needs rather than just retrieving the documents having the query terms supplied by them. For this task, traditional information retrieval methods hardly yield the results having higher-order relations between the given query and the documents in the collection. So, it becomes necessary to find and encode the higher-order feature associations present in text documents. This paper discusses the use of a distributed representation, namely random indexing for an effective retrieval of relevant text documents. This type of distributed representation would be scalable with modern computing facilities and flexible to develop knowledge-based applications, which may require the process of identifying implicit semantic relations though higher-order term associations. http://dx.doi.org/10.14429/djlit.31.4.1104.
机译：现代的商业搜索方法已经证明了信息检索（IR）技术的效率，并使知识的传播变得更加简单，在查询条件下查找相关文本文档变得日趋复杂。几乎所有的信息检索系统都在检索文档排名列表顶部的相关条目。用户感兴趣的是检索满足其信息需求的内容，而不仅仅是检索具有他们提供的查询词的文档。对于此任务，传统的信息检索方法几乎不会产生在给定查询和集合中的文档之间具有较高顺序关系的结果。因此，有必要找到并编码文本文档中存在的高阶特征关联。本文讨论了分布式表示的使用，即随机索引对相关文本文档的有效检索。这种类型的分布式表示形式可以通过现代计算设备进行扩展，并且可以灵活地开发基于知识的应用程序，这可能需要通过高阶术语关联来识别隐式语义关系的过程。 http://dx.doi.org/10.14429/djlit.31.4.1104。

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