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

doi 10.3115/v1/n15-1027
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

Log-Linear Models for Wide-Coverage CCG Parsing

2003English

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

Are Drought Occurrence and Severity Aggravating? A Study on SPI Drought Class Transitions Using Log-Linear Models and ANOVA-like Inference

Hydrology and Earth System Sciences
EarthWater SciencePlanetary SciencesTechnology
2012English

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

Biometrika
StatisticsProbabilityUncertaintyApplied MathematicsBiological SciencesAgriculturalMathematics
1999English

Joint Models: When Are Treatment Estimates Improved?

Statistics and its Interface
Applied MathematicsStatisticsProbability
2014English

Why the Whats Are When: Mutually Contextualizing Realms of Narrative

Annual Meeting of the Berkeley Linguistics Society
2014English

Endoscopy: Why and When

Scandinavian Journal of Primary Health Care
EnvironmentalPublic HealthOccupational Health
1990English

Are CDS Spreads Predictable? An Analysis of Linear and Non-Linear Forecasting Models

SSRN Electronic Journal
2012English

Self-Harm as Violence: When Victim and Perpetrator Are One

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy