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