«automatic text summarization»
۲۳۶۷ نتیجهAutomatic Text Summarization System Using Extraction Based Technique
In this new era, where tremendous information is available on the internet. It is most important to provide the improved mechanism to extract the information quickly and accurately. This leads to the difficulty for human beings to manually extract the summary of large documents o
Using Genetic Algorithms with Lexical Chains for Automatic Text Summarization
Automatic text summarization takes an input text and extracts the most important content in the text. Determining the importance of information depends on several factors. In this paper, we combine two different approaches that have been used in the text summarization domain. The
An Efficient Method based on Lexical Chains for Automatic Text Summarization
Automatic Text Summarization is an interesting topic for research. Still it is growing on. Increment of the data is exponentially growing on and it becomes too much difficult to find out the correct or relevant data in huge amount of data. So it becomes important for researchers
Automatic Text Summarization of Newswire: Lessons Learned from the Document Understanding Conference
Since 2001, the Document Understanding Conferences have been the forum for researchers in automatic text summarization to compare methods and results on common test sets. Over the years, several types of summarization tasks have been addressed—single document summarization, multi
Automatic Text Summarization
This work proposes an approach to address automatic text summarization. This approach is a trainable summarizer, which takes into account several features, including sentence position, positive keyword, negative keyword, sentence centrality, sentence resemblance to the title, sen
Self-Supervised Learning for Automatic Text Summarization by Text-span Extraction
We describe a system for automatic text summarization that operates by extracting the most relevant sentences from documents with regard to a query. The lack of labeled corpora makes it difficult to develop automatic techniques for summarization. We propose to use a self-supervis
Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization
While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When considering the size and quantity of documents available on the Internet and from other sou
Automatic Text Summarization Using Reinforcement Learning with Embedding Features
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
Framework of Automatic Text Summarization Using Reinforcement Learning
We present a new approach to the problem of automatic text summarization called Automatic Summarization using Reinforcement Learning (ASRL) in this paper, which models the process of constructing a summary within the framework of reinforcement learning and attempts to optimize th
Generation of patent abstracts: a challenge for automatic text summarization
It is well known that patents drive the modern economies. But they do even more: patents also serve as a valuable and unique source of up-to-date scientific and technological information. It is assumed that only 10% to 15% of the content presented in patents are described in othe