A Maximum Entropy Approach to Natural Language Processing Export

@article{citeulike:226136, abstract = {The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statistical estimation and pattern recognition. In this paper we describe a method for statistical modeling based on maximum entropy. We present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this...}, author = {Berger, Adam L. and Della Pietra, Stephen A. and Della Pietra, Vincent J.}, citeulike-article-id = {226136}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.6629}, journal = {Computational Linguistics}, keywords = {log-linear, maxent}, number = {\# 1}, pages = {39--71}, posted-at = {2007-09-08 23:56:53}, priority = {0}, title = {A Maximum Entropy Approach to Natural Language Processing}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.6629}, volume = {\# 22}, year = {\# 1996} }

TY - JOUR ID - citeulike:226136 L3 - citeulike-article-id:226136 N2 - The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statistical estimation and pattern recognition. In this paper we describe a method for statistical modeling based on maximum entropy. We present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this... IS - # 1 JF - Computational Linguistics EP - 71 TI - A Maximum Entropy Approach to Natural Language Processing VL - # 22 SP - 39 KW - log-linear KW - maxent AU - Berger, Adam AU - Della Pietra, Stephen AU - Della Pietra, Vincent PY - # 1996/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.6629 ER -