A new web page summarization method

ABSTRACT

In this paper, we present a novel multi-webpage summarization algorithm. It adds the graph based ranking algorithm into the framework of Maximum Marginal Relevance (MMR) method, to not only capture the main topic of the web pages but also eliminate the redundancy existing in the sentences of the summary result. The experiment result indicates that the new approach has the better performance than the previous methods.

REFERENCES

• 1: Erkan G. and Radev D. Lexrank Graph-based centrality as salience in text summarization. Journal of Artificial Intelligence Research (JAIR), 2004.
• 2: Mihalcea R., Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization, in Proc. of ACL'04, Barcelona, Spain, July 2004.
• 3: Page, L., Brin, S., Motwani, R., & Winograd, T. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford University, Stanford, CA, 1998.
• 4: Jaime Carbonell , Jade Goldstein, The use of MMR, diversity-based reranking for reordering documents and producing summaries, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.335-336, August 24-28, 1998, Melbourne, Australia [doi>10.1145/290941.291025]
• 5: Jade Goldstein , Vibhu Mittal , Jaime Carbonell , Jamie Callan, Creating and evaluating multi-document sentence extract summaries, Proceedings of the ninth international conference on Information and knowledge management, p.165-172, November 06-11, 2000, McLean, Virginia, United States [doi>10.1145/354756.354815]
• 6: NewsInEssence, interactive multi-source news summarization, http://lada.si.umich.edu:8080/clair/nie1/nie.cgi

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Abstracting methods

General Terms:
Algorithms, Experimentation, Performance

Keywords:
graph based ranking algorithm, maximum marginal relevance, multi-document summarization