The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …

Introduction Online reviews have become an important source of information for
investigating customers' consumption experiences in academic studies. In the context of …

Nowadays, voluminous unstructured data is steaming on the Web/social media. It is not easy
for individuals to find relevant information quickly from such a vast unstructured corpus. Text …

Abstractive summarization aims to generate a concise summary covering salient content
from single or multiple text documents. Many recent abstractive summarization methods are …

In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

With the advent of the World Wide Web, there are numerous online platforms that generate
huge amounts of textual material, including social networks, online blogs, magazines, etc …

Opinion summarization can facilitate user's decision-making by mining the salient review
information. However, due to the lack of sufficient annotated data, most of the early works …

For the better utilization of the enormous amount of data available to us on the Internet and
in different archives, summarization is a valuable method. Manual summarization by experts …

Abstract In Natural Language Processing (NLP) domain, the majority of automatic text
summarization approaches depend on a prior knowledge of the language and/or the …