Actual problem in nowadays is to efficiently process the large amount of data that pass through our mind everyday. The object of study of this paper is automatic summarization algorithms. The main goal is to implement and make comparison of different summarization techniques on corpora of news articles parsed from the web. This research work contains the description of three summarization techniques based on TextRank algorithm: General TextRank, BM25, LongestCommonSubstring. It is specially noted the languages of used corpora: Russian and Kazakh languages. The results of summarization processes and their comparison are provided. It should be emphasized that used algorithms are well-known, but the way of their evaluation on defined c...
With the advent of the World Wide Web, there are numerous online platforms that generate huge amount...
This paper presents the goals, results and conclusions from an experiment where several shallow text...
International audienceThis paper investigates a new approach for Single Document Summarization based...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
Text summarization is crucial for managing the enormous amount of textual data that is presently acc...
The work deals with automatic summarization of documents in HTML format. As a language of web docume...
With an increasing amount of textual information available there is also an increased need to make t...
With an increasing amount of textual information available there is also an increased need to make t...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
Summarization is the process of creating a more compact textual representation of a document or a co...
As the information on the internet continues to expand exponentially, machine learning, is becoming ...
952-962Due to the presence of large amounts of data and its exponential level generation, the manual...
A large number of information of all the domains are available online in the form of hyper text in w...
Internet domain is flooded with text information/ documents and it is difficult to get what kind of ...
With the advent of the World Wide Web, there are numerous online platforms that generate huge amount...
This paper presents the goals, results and conclusions from an experiment where several shallow text...
International audienceThis paper investigates a new approach for Single Document Summarization based...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
Text summarization is crucial for managing the enormous amount of textual data that is presently acc...
The work deals with automatic summarization of documents in HTML format. As a language of web docume...
With an increasing amount of textual information available there is also an increased need to make t...
With an increasing amount of textual information available there is also an increased need to make t...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
Summarization is the process of creating a more compact textual representation of a document or a co...
As the information on the internet continues to expand exponentially, machine learning, is becoming ...
952-962Due to the presence of large amounts of data and its exponential level generation, the manual...
A large number of information of all the domains are available online in the form of hyper text in w...
Internet domain is flooded with text information/ documents and it is difficult to get what kind of ...
With the advent of the World Wide Web, there are numerous online platforms that generate huge amount...
This paper presents the goals, results and conclusions from an experiment where several shallow text...
International audienceThis paper investigates a new approach for Single Document Summarization based...