GraphSum: Discovering correlations among multiple terms for graph-based summarization

نویسندگان

  • Elena Baralis
  • Luca Cagliero
  • Naeem A. Mahoto
  • Alessandro Fiori
چکیده

0020-0255/$ see front matter 2013 Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.ins.2013.06.046 ⇑ Corresponding author. Tel.: +39 0110907084; fax: +39 0110907099. E-mail addresses: [email protected] (E. Baralis), [email protected] (L. Cagliero), [email protected] (N. Mahoto), alessandro.fio (A. Fiori). Elena Baralis , Luca Cagliero a,⇑, Naeem Mahoto , Alessandro Fiori b

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Graph Hybrid Summarization

One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...

متن کامل

Link Prediction for Annotation Graphs Using Graph Summarization

Annotation graph datasets are a natural representation of scientific knowledge. They are common in the life sciences where genes or proteins are annotated with controlled vocabulary terms (CV terms) from ontologies. The W3C Linking Open Data (LOD) initiative and semantic Web technologies are playing a leading role in making such datasets widely available. Scientists can mine these datasets to d...

متن کامل

A survey on Automatic Text Summarization

Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...

متن کامل

An Optimal Approach to Local and Global Text Coherence Evaluation Combining Entity-based, Graph-based and Entropy-based Approaches

Text coherence evaluation becomes a vital and lovely task in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like entity-based and graph-based models are engaging with nouns and noun phrases change role in sequential sentences within short part of a text. They even have limitations in global coheren...

متن کامل

Automatic Multimedia Knowledge Discovery, Summarization and Evaluation

This paper presents novel methods for automatically discovering, summarizing and evaluating multimedia knowledge from annotated images in the form of images clusters, word senses and relationships among them, among others. These are essential for applications to intelligently, efficiently and coherently deal with multimedia. The proposed methods include automatic techniques (1) for constructing...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Inf. Sci.

دوره 249  شماره 

صفحات  -

تاریخ انتشار 2013