Conference on Empirical Methods in Natural Language Processing

Conference on Empirical Methods in Natural Language Processing A Geometric Approach to Mapping Bitext Correspondence I. Dan Melamed Parsing Chinese With an Almost-Context-Free Grammar Xuanyin Xia Dekai Wu Unsupervised Learning of Syntactic Knowledge: Methods and Measures R. Basili A. Marziali M.T. Pazienza P. Velardi Modeling Conversational Speech for Speech Recognition Marie Meteer Rukmini Iyer Automatic Extraction of New Words from Japanese Texts using Generalized Forward-Backward Search Masaaki Nagata Better Language Models with Model Merging Thorsten Brants Combining Hand-crafted Rules and Unsupervised Learning in Constraint-based Morphological Disambiguation Kemal Oflazer Gokhan Tur Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning Raymond J. Mooney Apportioning Development Effort in a Probabilistic LR Parsing System Through Evaluation John Carroll Ted Briscoe The Measure of a Model Rebecca Bruce Janyce Wiebe Ted Pedersen Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge Claire Cardie Figures of Merit for Best-First Probabilistic Chart Parsing Sharon A. Caraballo Eugene Charniak A Maximum Entropy Model for Part-Of-Speech Tagging Adwait Ratnaparkhi Efficient Algorithms for Parsing the DOP Model Joshua Goodman