Improved sentence retrieval using local context and sentence length

Author:

Doko Alen,Štula Maja,Šerić Ljiljana

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference18 articles.

1. Allan, J., Wade, C., & Bolivar, A. (2003). Retrieval and novelty detection at the sentence level. In Proceedings of the 26th ACM international conference on research and development in information retrieval (SIGIR 2003) (pp. 314–321).

2. Chen, P., & Verma, R., (2006). A query-based medical information summarization system using ontology knowledge. In Proceedings of the 19th IEEE symposium on computer-based medical systems (CBMS’06), Salt Lake City, Utah, June 2006.

3. A recursive TF–ISF based sentence retrieval method with local context;Doko;International Journal of Machine Learning and Computing,2013

4. Using opinion-based features to boost sentence retrieval;Fernandez,2009

5. Extending the language modeling framework for sentence retrieval to include local context;Fernandez;Information Retrieval,2010

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