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Multilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised Learning
Semi-Supervised Unsupervised Learning
2017/4/6
Highly frequent in language and communication, metaphor represents a significant challenge
for Natural Language Processing (NLP) applications. Computational work on metaphor has
traditionally evolve...
This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised
Learning of Morphology as the problem of inducing a description (of some kind, even if only
morpheme se...
Unsupervised Learning of the Morphology of a Natural Language
Unsupervised Learning Natural Language
2015/8/26
This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size ...
Unsupervised Learning of Field Segmentation Models for Information Extraction
Unsupervised Learning Field Segmentation Models Information Extraction
2015/6/12
The applicability of many current information extraction techniques is severely limited by the need for supervised training data. We demonstrate that for certain field structured extraction tasks, suc...
Supervised and Unsupervised Learning of Multidimensional Acoustic Categories
auditory categories supervised learning unsupervised learning nonspeech
2015/4/7
Learning to recognize the contrasts of a language-specific phonemic repertoire can be viewed as forming categories in a multidimensional psychophysical space. Research on the learning of distributiona...
Unsupervised Learning of Dyadic Processes: Models, Methods, and Simulation
dyadic processes micro-social dynamics Hierarchical Dirichlet Hidden semi-Markov Model
2014/8/8
The dynamics that arise from dyadic processes, such as those
observed in married couples, generate a cascade of eectssome good
and some badon each partner, other family members, and other social ...
Unsupervised Learning of Two Bible Books: Proverbs and Psalms
Bible Proverbs Psalms Affinity Propagation Clustering Algorithm Topic Model Machine Learning Text Mining
2013/2/19
The book of Proverbs teaches the wisdom of life that was relevant in the days of King Solomon, the principal author of this book and a son of King David, but more importantly it is still applicable an...
Unsupervised Learning of Two Bible Books: Proverbs and Psalms
Bible Proverbs Psalms Affinity Propagation Clustering Algorithm
2013/9/5
The book of Proverbs teaches the wisdom of life that was relevant in the days of King Solomon, the principal author of this book and a son of King David, but more importantly it is still applicable an...
Bayesian and L1 Approaches to Sparse Unsupervised Learning
Bayesian L1 Approaches Sparse Unsupervised Learning
2011/7/6
The use of L1 regularisation for sparse learning has generated immense research interest, with successful application in such diverse areas as signal acquisition, image coding, genomics and collaborat...
Model Selection by Loss Rank for Classification and Unsupervised Learning
Classification graphical models loss rank principle model selection
2010/11/9
Hutter (2007) recently introduced the loss rank principle (LoRP) as a general-purpose principle for model selection. The LoRP enjoys many attractive prop-erties and deserves further investigations. Th...
Supervised and Unsupervised Learning of Multidimensional Acoustic Categories
auditory categories supervised learning unsupervised learning nonspeech
2014/5/7
Learning to recognize the contrasts of a language-specific phonemic repertoire can be viewed as forming categories in a multidimensional psychophysical space. Research on the learning of distributiona...