There are two main categories of multi-document summarization: term-based and ontology-
based methods. A term-based method cannot deal with the problems of polysemy and …

Sentence-based multi-document summarization is the task of generating a succinct
summary of a document collection, which consists of the most salient document sentences …

Multidocument summarization addresses the selection of a compact subset of highly
informative sentences, ie, the summary, from a collection of textual documents. To perform …

In recent years, many people started to take care of the physical health. The biomedical
article is the trendy issue at the moment leading to the huge amount of knowledge created …

Online search engines are a popular source of medical information for users, where users
can enter questions and obtain relevant answers. It is desirable to generate answer …

With the problem of increased web resources and the huge amount of information available,
the necessity of having automatic summarization systems appeared. Since summarization is …

The increasing amount of biomedical information that is available for researchers and
clinicians makes it harder to quickly find the right information. Automatic summarization of …

This thesis presents Abstractive Text Summarization models for contemporary Sanskrit
prose. The first chapter, titled Introduction, presents the motivation behind this work, the …

This chapter presents a meta-search approach, meant to deliver bibliography from the
internet, according to trainees' results obtained at an e-assessment task. The bibliography …

In today's era, information has been growing exponentially on the web, due to which
extraction of relevant and concise information has become a challenging task. To overcome …