full
search.png

Search

close.png

Cancel

arrow
Volume 6, Issue 3
Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model

Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu

J. Info. Comput. Sci. , 6 (2011), pp. 227-233.

Preview Purchase PDF 165959 665

Cited by

google scholar semantic scholar
Export citation
  • Abstract
In this paper, we described dynamic evolution of network information, as well as identify and analysis the document collection on the same topic in different stages. Dynamic summarization considers the different documents’ temporal relationship in multi-document and analyzes the relationship between emerged information and emerging information. In order to construct a dynamic evolution of content differences, a dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the test data of Update Summarization in TAC2008, we showed effectiveness results.
  • Keywords

Multi-Document Summarization, Otherness analysis, Matrix model, D-TFIDF-T, Dynamic evolvement

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JICS-6-227, author = {Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu}, title = {Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {6}, number = {3}, pages = {227--233}, abstract = {In this paper, we described dynamic evolution of network information, as well as identify and analysis the document collection on the same topic in different stages. Dynamic summarization considers the different documents’ temporal relationship in multi-document and analyzes the relationship between emerged information and emerging information. In order to construct a dynamic evolution of content differences, a dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the test data of Update Summarization in TAC2008, we showed effectiveness results. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22679.html} }
TY - JOUR T1 - Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model AU - Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu JO - Journal of Information and Computing Science VL - 3 SP - 227 EP - 233 PY - 2024 DA - 2024/01 SN - 6 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22679.html KW - Multi-Document Summarization, Otherness analysis, Matrix model, D-TFIDF-T, Dynamic evolvement AB - In this paper, we described dynamic evolution of network information, as well as identify and analysis the document collection on the same topic in different stages. Dynamic summarization considers the different documents’ temporal relationship in multi-document and analyzes the relationship between emerged information and emerging information. In order to construct a dynamic evolution of content differences, a dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the test data of Update Summarization in TAC2008, we showed effectiveness results.
Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu. (2024). Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model. Journal of Information and Computing Science. 6 (3). 227-233. doi:
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard