Abstractive Text Summarization Using Hybrid Technique of Summarization

Muhammad Irfan Liaqat, Isma Hamid, Qamar Nawaz, Nida Shafique
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引用次数: 1

Abstract

Abstractive text summarization focuses at compress the document into a shorter form while keeping the connotation intact. The extractive summary can select chunks of sentences that are very related to the document, on the other hand, an abstractive summary can generate a summary based on extracted keywords. This research proposed an abstractive text summarization model, it gets data from source data (e.g., Daily Mail/CNN) or other documents and two summaries of this are generated. one from a philologist and the other by proposed model. The summary generated by the philologist kept as a model to compare with the machine-generated summary. The proposed model increased the accuracy and the readability of the summary.
基于混合摘要技术的抽象文本摘要
抽象文本摘要的重点是在保持文本内涵不变的情况下,将文本压缩成较短的形式。提取摘要可以选择与文档非常相关的句子块,另一方面,抽象摘要可以根据提取的关键字生成摘要。本研究提出了一种抽象的文本摘要模型,它从源数据(如Daily Mail/CNN)或其他文档中获取数据,并生成两个摘要。一个来自语言学家,另一个来自拟建的模型。由语言学家生成的摘要作为模型与机器生成的摘要进行比较。该模型提高了摘要的准确性和可读性。
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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