Extraction-Based Single-Document Summarization Using Random Indexing

  title={Extraction-Based Single-Document Summarization Using Random Indexing},
  author={Niladri Chatterjee and Shiwali Mohan},
  journal={19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007)},
This paper presents a summarization technique for text documents exploiting the semantic similarity between sentences to remove the redundancy from the text. Semantic similarity scores are computed by mapping the sentences on a semantic space using random indexing. Random indexing, in comparison with other semantic space algorithms, presents a computationally efficient way of implicit dimensionality reduction. It involves inexpensive vector computations such as addition. It thus provides an… CONTINUE READING
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