A Word Clustering Approach for Language Model-based Sentence Retrieval in Question Answering Systems ABSTRACT

by Saeedeh Momtazi
Citations:7 - 4 self

Documents Related by Co-Citation

715 Class-Based n-gram Models of Natural Language – Peter F. Brown, Peter V. deSouza, Robert L. Mercer, Vincent J. Della Pietra, Jenifer C. Lai - 1992
342 Interpolated estimation of Markov source parameters from sparse data – F Jelinek, R L Mercer - 1980
892 Information Retrieval – Vijay V. Raghavan, et al.
907 A Language Modeling Approach to Information Retrieval – Jay M. Ponte, W. Bruce Croft - 1998
851 Word Association Norms, Mutual Information, and Lexicography – Kenneth Ward Church, Patrick Hanks - 1990
726 A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval – Chengxiang Zhai, John Lafferty
908 Moses: Open Source Toolkit for Statistical Machine Translation”. ACL-2007 – Hieu Hoang, Alexandra Birch, Chris Callison-burch, Richard Zens, Marcello Federico, Nicola Bertoldi, Chris Dyer, Brooke Cowan, Wade Shen, Christine Moran, Ondřej Bojar, Alexandra Constantin, Evan Herbst - 2007
874 An Empirical Study of Smoothing Techniques for Language Modeling – Stanley F. Chen - 1998
677 Estimation of probabilities from sparse data for the language model component of a speech recognizer – Slava M. Katz - 1987