Automatic genre recognition and adaptive text summarization

  title={Automatic genre recognition and adaptive text summarization},
  author={Viatcheslav Yatsko and Maxim Starikov and Alexander V. Butakov},
  journal={Automatic Documentation and Mathematical Linguistics},
This paper describes an experimental method for automatic text genre recognition based on 45 statistical, lexical, syntactic, positional, and discursive parameters. The suggested method includes: (1) the development of software permitting heterogeneous parameters to be normalized and clustered using the k-means algorithm; (2) the verification of parameters; (3) the selection of the parameters that are the most significant for scientific, newspaper, and artistic texts using two-factor analysis… Expand
A practical method of automatic recognition of the text genre based on all parameters is described and the choice of the most important parameters for the texts was considered. Expand
Using clustering and a modified classification algorithm for automatic text summarization
A modified classification method destined for extractive summarization purpose, which gives good performance, and the addition of new features (which is simple using this method) can improve summary’s accuracy. Expand
Using NLP for Article Summarization
Summarization is the process of reducing a block of text by extracting the most important points in a text document, resulting in a summary of the original document. This is a part of MachineExpand
A Novel Hybrid Text Summarization System for Punjabi Text
Results of proposed system are compared with different baseline systems, and it is found that F score, Precision, Recall and ROUGE-2 score of the system are reasonably well as compared to other baseline systems. Expand
Automatic text summarization: What has been done and what has to be done
This article will discuss different works in automatic summarization, especially the recent ones, and present some problems and limits which prevent works to move forward. Expand
The method of zonal correlation text analysis
  • V. Yatsko
  • Computer Science
  • Automatic Documentation and Mathematical Linguistics
  • 2014
This paper analyses the method of zonal correlation text analysis based on the comparison of the distribution of word counts in the J1 zones of two or more texts to obtain adequate results based on a limited number of parameters. Expand
Cross-Lingual Genre Classification
The first approach to this task is introduced, which exploits text features that can be considered stable genre predictors across languages and is shown to perform equally well or better than full text translation combined with monolingual classification, while requiring fewer resources. Expand
texts ) Review Editorial Official Document Skill & Hobbies Reportage Popular Lore Biography & Essay Scientific text Fiction
Cross-lingual methods can bring the benefits of genre classification to languages which lack genre-annotated training data. However, prior work in this field has been evaluated on coarse genres only.Expand
Blog Style Classification: Refining Affective Blogs
This paper proposes and evaluates a classification method employing novel lexical, morphological, lightweight syntactic and structural features of written text and shows that the method outperforms the existing approaches. Expand
Probing the Statistical Properties of Unknown Texts: Application to the Voynich Manuscript
A framework for determining whether a text is compatible with a natural language and to which language it could belong is proposed, based on three types of statistical measurements obtained from first-order statistics of word properties in a text. Expand


Some Issues in Automatic Genre Classification of Web Pages
Two experiments in automatic genre classification of web pages are presented to highlight three important issues related to genre classification : corpus composition and genre palettes, feature representativeness, and exportability of classification models. Expand
Automatic identification of genre in Web pages
It is argued that automatic identification of genre in web pages needs more flexible genre classification schemes, and experiments are described that support this claim. Expand
The Concept of Genre and Its Characteristics
Vue d'ensemble sur l'histoire du genre des documents (genre litteraire, scientifique, didactique...). Application de certains aspects de la tradition a la conception de systemes d'information actuels.
The Method for Estimating the Operating Benefits of Modern Auto  matic Text Summarization Systems , Nauchno  Tekh
  • 2002