DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.
Title: Query based text summarization
Authors: Shail Shah, S. Adarshan Naiynar, B. Amutha
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 19
Language: English
With the increasing demands of solutions to the problems in the field of Artificial Intelligence and Natural Language Processing is one of the most challenging tasks. Query Based Text Summarizer is one of the most explored topics in Natural Language Processing which involves processing and comprehending of text document with an appropriate result based on an input query. There have been many models and structures for a text summarizer which generates effective results; there have been very few approaches towards an extension of this problem. Query based text summarizer is based on sentence-sentence and sentence-word relationship using graphs structure. Several methods and algorithms based on statistics and linguistic techniques have been adopted in the past, however in order to maximise its results, a combination of these techniques must be applied to make it more efficient. This paper aims to solve the righteousness of the output that is being generated.
Loading PDF...
Loading Statistics...