一种印度地区语言的文本摘要信息检索

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI:10.1109/NLPKE.2010.5587764

Jagadish S. Kallimani, K. Srinivasa, B. E. Reddy

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引用次数: 23

摘要

信息抽取是一种从大量文本中过滤信息的方法。与全文理解相比，信息提取是一项有限的任务。在全文理解中，我们希望以一种明确的方式表达文本中的所有信息。相比之下，在信息提取中，我们提前划分，作为任务规范和输出语义范围的一部分。本文提出了一种利用新方法对大型文档进行摘要的模型。讨论了扩展印度地区语言(卡纳达语)的工作和对结果的各种分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Information retrieval by text summarization for an Indian regional language

The Information Extraction is a method for filtering information from large volumes of text. Information Extraction is a limited task than full text understanding. In full text understanding, we aspire to represent in an explicit fashion about all the information in a text. In contrast, in Information Extraction, we delimit in advance, as part of the specification of the task and the semantic range of the output. In this paper, a model for summarization from large documents using a novel approach has been proposed. Extending the work for an Indian regional language (Kannada) and various analyses of results were discussed.

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Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

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