Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user and task. When this is done by means of a computer, i.e. automatically, it calls as Automatic Text Summarization. Summarization can be classified into two approaches: extraction and abstraction. Extraction based summaries are produced by concatenating...

Abstractive summarization has been a longstanding and long-term goal in automatic summarization, because systems that can generate abstracts demonstrate a deeper understanding of language and the meaning of documents than systems that merely extract sentences from those documents. Genest (2009) showed that summaries from the top automatic summarizers are judged as comparable to manual extractiv...

An automatic text summarization system can automatically generate a short and brief summary that contains a main concept of an original document. In this work, we explore the advantages of simple embedding features in Reinforcement leaning approach to automatic text summarization tasks. In addition, we propose a novel deep learning network for estimating Qvalues used in Reinforcement learning. ...

The rapid growth of online information services has created the problem of information explosion. Automatic text summarization techniques are essential for dealing with this problem. The process of compacting a source document to reduce its complexity and length while retaining its most important contents is called text summarization. This paper introduces Parsumist-a text summarization system ...

Title of dissertation: MULTIPLE ALTERNATIVE SENTENCE COMPRESSIONS AS A TOOL FOR AUTOMATIC SUMMARIZATION TASKS David M. Zajic Doctor of Philosophy, 2007 Dissertation directed by: Professor Bonnie J. Dorr, advisor Professor Jimmy Lin, co-advisor Department of Computer Science Automatic summarization is the distillation of important information from a source into an abridged form for a particular ...

With the rapid growth of the Internet, most of the textual data in the form of newspapers, magazines and journals tend to be available on-line. Summarizing these texts can aid the users access the information content at a faster pace. However, doing this task manually is expensive and time-consuming. Automatic text summarization is a solution for dealing with this problem. For a given text, a t...