The primary focus of this paper is multi-document comparative summarization. At first, the concept of comparative summarization is defined, and then the existing approaches are described. Finally, a new method using LSA (Latent Semantic Analysis) for comparative summarization is proposed. Key-Words: Comparative summarization, contrastive summarization, summarization via LSA

In this paper, we propose a new method of automatic speech summarization for each utterance, where a set of words that maximizes a summarization score is extracted from automatic speech transcriptions. The summarization score indicates the appropriateness of summarized sentences. This extraction is achieved by using a dynamic programming technique according to a target summarization ratio. This...

In this work, a general theoretical framework for extractive summarization is proposed—the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text today, methods can be especially suitable some applications, and they help with other tasks such as Text Classification, Question Answering, Information Extraction. The proposed approach based on the...

Hierarchical summarization technique summarizes a large document based on the hierarchical structure and salient features of the document. Previous study has shown that hierarchical summarization is a promising technique which can effectively extract the most important information from the source document. Hierarchical summarization has been extended to summarization of multiple documents. Thre...

PKUSUMSUM is a Java platform for multilingual document summarization, and it supports multiple languages, integrates 10 automatic summarization methods, and tackles three typical summarization tasks. The summarization platform has been released and users can easily use and update it. In this paper, we make a brief description of the characteristics, the summarization methods, and the evaluation...

Summarization is a Process of filtering the most important information from source/sources for a particular user and task. Summarization is a very useful task which gives support to many other tasks. It takes advantage of the techniques developed for Natural Language Processing tasks. Multidocument summarization is a technique of summarize the multiple document into one paragraph. Multi-documen...

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...