Using Latent Semantic Analysis in Text Summarization and Summary Evaluation

@inproceedings{Steinberger2004UsingLS,
  title={Using Latent Semantic Analysis in Text Summarization and Summary Evaluation},
  author={Josef Steinberger and Karel Jezek},
  year={2004}
}
This paper deals with using latent semantic analysis in text summarization. We describe a generic text summarization method which uses the latent semantic analysis technique to identify semantically important sentences. This method has been further improved. Then we propose two new evaluation methods based on LSA, which measure content similarity between an original document and its summary. In the evaluation part we compare seven summarizers by a classical content-based evaluator and by the… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 138 citations. REVIEW CITATIONS

7 Figures & Tables

Topics

Statistics

0102030'05'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

139 Citations

Semantic Scholar estimates that this publication has 139 citations based on the available data.

See our FAQ for additional information.