Search (1 results, page 1 of 1)

  • × author_ss:"Jezek, K."
  • × theme_ss:"Automatisches Abstracting"
  1. Steinberger, J.; Poesio, M.; Kabadjov, M.A.; Jezek, K.: Two uses of anaphora resolution in summarization (2007) 0.00
    0.0030444188 = product of:
      0.0060888375 = sum of:
        0.0060888375 = product of:
          0.012177675 = sum of:
            0.012177675 = weight(_text_:a in 949) [ClassicSimilarity], result of:
              0.012177675 = score(doc=949,freq=18.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.22931081 = fieldWeight in 949, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=949)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in DUC-2002. Anaphoric information is automatically extracted using a new release of our own anaphora resolution system, guitar, which incorporates proper noun resolution. Our summarizer also includes a new approach for automatically identifying the dimensionality reduction of a document on the basis of the desired summarization percentage. Anaphoric information is also used to check the coherence of the summary produced by our summarizer, by a reference checker module which identifies anaphoric resolution errors caused by sentence extraction.
    Type
    a