Improving Retrieval Effectiveness by Using Key Terms in Top Retrieved Documents

Author:

Lingpeng Yang,Donghong Ji,Guodong Zhou,Yu Nie

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Bear, J., Israel, D., Petit, J., Martin, D.: Using Information Extraction to Improve Document Retrieval. In: Proceedings of the Sixth Text Retrieval Conference (1997)

2. Carpineto, C., Romano, G., Giannini, V.: Improving Retrieval Feedback with Multiple Term-Ranking Function Combination. ACM Transactions on Information Systems 20(3), 259–290 (2002)

3. Fuhr, N.: Probabilistic Models in Information Retrieval. The Computer Journal 35(3), 243–254 (1992)

4. Ji, D.H., Yang, L.P., Nie, Y.: Chinese Language IR Based on Term Extraction. In: The Third NTCIR Workshop (2002)

5. Ji, D.H., Yang, L.P., Nie, Y., Tang, L.: Online Discovery of Relevant Terms from Internet. In: IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLPKE 2003), Beijing, China (October 2003)

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