Amanote Research

Amanote Research

    RegisterSign In

Log-Linear Models for Wide-Coverage CCG Parsing

doi 10.3115/1119355.1119368
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2003

Authors
Stephen ClarkJames R. Curran
Publisher

Association for Computational Linguistics


Related search

Wide-Coverage Parsing of Speech Transcripts

2009English

Building Deep Dependency Structures With a Wide-Coverage CCG Parser

2001English

When and Why Are Log-Linear Models Self-Normalizing?

2015English

Inducing History Representations for Broad Coverage Statistical Parsing

2003English

Markov Chain Monte Carlo Model Determination for Hierarchical and Graphical Log-Linear Models

Biometrika
StatisticsProbabilityUncertaintyApplied MathematicsBiological SciencesAgriculturalMathematics
1999English

Stochastic Gradient Descent Training for L1-Regularized Log-Linear Models With Cumulative Penalty

2009English

Contributions to the Statistical Analysis of Contingency Tables: Notes on Quasi-Symmetry, Quasi-Independence, Log-Linear Models, Log-Bilinear Models, and Correspondence Analysis Models

Annales de la faculté des sciences de Toulouse Mathématiques
2002English

Three Generative, Lexicalised Models for Statistical Parsing

1997English

A FORTRAN Program for Linear Log Odds Analysis

Behavior Research Methods
DevelopmentalArtsPsychologyEducational PsychologyCognitive PsychologyHumanitiesExperimental
1974English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy