Term Dependence Statistical Measures for Information Retrieval Tasks

Author:

Fernández-Reyes Francis C.,Valadez Jorge Hermosillo,Suárez Yasel Garcés

Publisher

Springer International Publishing

Reference19 articles.

1. Bendersky, M., Croft, W.B.: Modeling higher-order term dependencies in information retrieval using query hypergraphs. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012, pp. 941–950. ACM, New York (2012). http://doi.acm.org/10.1145/2348283.2348408

2. Choi, S., Choi, J., Yoo, S., Kim, H., Lee, Y.: Semantic concept-enriched dependence model for medical information retrieval. J. Biomed. Inform. 47, 18–27 (2014)

3. Galton, F.: Regression towards mediocrity in hereditary stature. J. Anthropol. Inst. G. B. Irel. 15, 246–263 (1886). http://dx.doi.org/10.2307/2841583

4. Huston, S., Culpepper, J.S., Croft, W.B.: Indexing word sequences for ranked retrieval. ACM Trans. Inf. Syst. (TOIS) 32(1), 3 (2014)

5. Jones, K.S., Walker, S., Robertson, S.E.: A probabilistic model of information retrieval: development and comparative experiments. Inf. Process. Manage. 36(6), 779–808 (2000). http://dx.doi.org/10.1016/S0306-4573(00)00015-7

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