Bilingual automatic text summarization using unsupervised deep learning

S. Singh, Ajai Kumar, Abhilasha Mangal, Shikha Singhal
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引用次数: 32

Abstract

In the world of digitization, the growth of big data is raising at large scale with usage of high performance computing. The huge data in English and Hindi is available on internet and social media which need to be extracted or summarized in user required form. In this paper we are presenting Bilingual (Hindi and English) unsupervised automatic text summarization using deep learning. which is an important research area with in Natural Language Processing, Machine Learning and data mining, to improve result accuracy, we are using restricted Boltzmann machine to generate a shorter version of original document without losing its important information. In this algorithm we are exploring the features to improve the relevance of sentences in the dataset.
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使用无监督深度学习的双语自动文本摘要
在数字化世界中,随着高性能计算的使用,大数据的增长正在大规模增加。互联网和社交媒体上有大量的英语和印地语数据,需要以用户需要的形式提取或总结。在本文中,我们介绍了使用深度学习的双语(印地语和英语)无监督自动文本摘要。这是自然语言处理、机器学习和数据挖掘中的一个重要研究领域,为了提高结果的准确性,我们使用受限玻尔兹曼机在不丢失重要信息的情况下生成原始文档的精简版本。在这个算法中,我们正在探索特征来提高数据集中句子的相关性。
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