Text summarization is the process of reducing text size while preserving its key points.
Thanks to this process, the reading time of the text is also reduced which contributes to …

Usually, computerized assessments of constructed responses use a predictive-centered
approach instead of a validity-centered one. Here, we compared the convergent and …

Recently, the growth of technology has resulted in a rise in text data acquired from a variety
of sources and anticipated to attract substantial growth and attention. The enormous quantity …

Decomposing the structure of a large number of existing posts through data mining will
greatly improve the effect of enterprise human resource structure optimization. To this end …

Abstract Multi-Document Text Summarization is obtaining relevant information from a set of
documents describing the same topic. However, determining the key sentences in the text to …

Researchers are increasingly focusing on legal text processing due to the abundance of
legal information online. Understanding lengthy legal documents has become challenging …

Automatic text summarization (ATS)(a subset of natural language processing) is actively
being integrated across many industrial applications, such as question answering, legal …

This chapter presents some definitions related to the Evaluation of Text Summaries (ETS).
These definitions help the reader understand the key concepts and ideas in general. In …

Abstract Automatic Text Summarization (ATS) has played an essential role in condensing
textual information from digital documents. Since 2001, the development of ATS has been …

For multi-document text summarization, text features are fundamental because they
determine the importance of each sentence from source documents. Therefore, selected …