Steinberger, J.; Poesio, M.; Kabadjov, M.A.; Jezek, K.: Two uses of anaphora resolution in summarization (2007)
0.00
9.602991E-4 = product of:
0.013444187 = sum of:
0.013444187 = weight(_text_:information in 949) [ClassicSimilarity], result of:
0.013444187 = score(doc=949,freq=10.0), product of:
0.051665172 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02943083 = queryNorm
0.2602176 = fieldWeight in 949, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=949)
0.071428575 = coord(1/14)
- 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.
- Source
- Information processing and management. 43(2007) no.6, S.1663-1680