Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full text, in this paper, we introduce a large corpus of Chinese short text summarization dataset constructed from the Chinese microblogging website Sina Weibo, which will be ...

Researchers in automatic document summarization have already adopted many techniques from existing machine translation literature. Likewise, there is much that the machine translation community can learn from current research in summarization. Automatic Summarization, by Inderjeet Mani, provides a firm grounding in the primary techniques that have been applied to the summarization task, so that...

In the present scenario, Automatic Text Summarization (ATS) is in great demand to address ever-growing volume of text data available online discover relevant information faster. this research, ATS methodology proposed for Hindi language using Real Coded Genetic Algorithm (RCGA) over health corpus, Kaggle dataset. The comprises five phases: preprocessing, feature extraction, processing, sentence...

Due to increasing use of internet and online technologies or online data, there is vast increase in the electronic documents. When a data is being retrieved from such a huge collection of electronic documents, hundreds and thousands of documents are retrieved. Hence, for user, it is not possible to read all the retrieved documents. Also, these documents contain redundant information. In such si...

Automatic text summarization consists of automatically creating a summary of one or more texts. As for Web pages, unfortunately classical techniques cannot be applied in presence of dynamic contents. In this paper, we propose the adoption of snippets –i.e., page excerpts provided together with user query results by search engines– as a text summarization technique. The study is conducted along ...

This Ph.D. thesis is the result of several years of research on automatic text summarization. Three major contributions are presented in the form of published and yet to be published papers. They follow a path that moves away from extractive summarization and toward abstractive summarization. The first article describes the HexTac experiment, which was conducted to evaluate the performance of h...