Applications of Article Summarizer

About this research topic

The purpose of Automatic Text Summarization (ATS) is to create a concise version of a document that stores the most relevant topics and material.
ATS is not a modern research site, but it has received much information from the scientific community in recent years.
Modern methods based on the neural network that can produce the most amazing results, on the one hand, and the discovery of large datasets covering hundreds of thousands of pairs of article summaries, on the other hand, has aroused interest. In addition, the ability to manage a wide range of texts from user-generated material taken from the online to highly detailed texts, such as technical/scientific articles, opens up new problems in the field of science. Consequently, ATS is an important means not only of reducing information assets but also of assessing the relevance of information and the relevance of responses in the context of a given system.

This Research Focus aims to provide an article summary of current research in the field of Natural Language Processing (NLP) and, in particular, ATS, to accelerate the dissemination of information and allow for the creation of new methods, data sets, and services that meet needs. research and industry.

To that end, the Study Article promotes a multi-disciplinary approach, with the aim of bringing together professionals from different backgrounds in different fields – mechanical learning, natural language, cognitive science, and psychology – exploring the advanced work and power of this ATS multi-source data source .

Highlights of this article include (but are not limited to) the following topics:

  • Article summary (vague and subtitle)
  • Article summary based on topic / question-based, supervised / supervised
  • Text summary (single and plural document)
  • A variety of text types (News, tweets, product reviews, conference discussions, forums, lectures, student feedback, emails, medical records, books, research articles, etc.)
    abridgment of multilingual and multilingualism
  • Development of new data sets and annotations, especially in languages ​​other than English

 

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