Guest Editors Introduction: Machine Learning in Speech and Language Technologies
Support Vector Learning for Semantic Argument Classification
Filtering-Ranking Perceptron Learning for Partial Parsing
Ranking and Reranking with Perceptron
Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification
Moment Kernels for Regular Distributions
Maximum Entropy Modeling: A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation
Maximum Entropy Models with Inequality Constraints: A Case Study on Text Categorization
A Neural Syntactic Language Model
Combining Statistical Language Models via the Latent Maximum Entropy Principle
Corpus-based Learning of Analogies and Semantic Relations