Conference on Empirical Methods in Natural Language Processing (and forerunners) (1996)
Volumes
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
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Dekai Wu
Unsupervised Learning of Syntactic Knowledge: Methods and Measures
R. Basili
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A. Marziali
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M.T. Pazienza
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P. Velardi
Modeling Conversational Speech for Speech Recognition
Marie Meteer
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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
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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
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Ted Briscoe
The Measure of a Model
Rebecca Bruce
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Janyce Wiebe
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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
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Eugene Charniak
A Maximum Entropy Model for Part-Of-Speech Tagging
Adwait Ratnaparkhi
Efficient Algorithms for Parsing the DOP Model
Joshua Goodman