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All Mixed Up Finding the Optimal Feature Set for General Readability Prediction and Its Application to English and Dutch
Traditional readability forecast text type
2016/10/31
Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, although NLP-in...
Multiple Adjunction in Feature-Based Tree-Adjoining Grammar
Multiple Adjunction Tree-Adjoining Grammar
2015/9/15
In parsing with Tree Adjoining Grammar (TAG), independent derivations have been shown by Schabes and Shieber (1994) to be essential for correctly supporting syntactic analysis, semantic interpretation...
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
The effect of partial semantic feature match in forward prediction and backward retrieval
forward prediction backward retrieval
2015/9/7
The effect of partial semantic feature match in forward prediction and backward retrieval.
Probabilistic modeling of lexicalized grammars is difficult because these grammars exploit complicated data structures, such as typed feature structures. This prevents us from applying common methods ...
Feature structures are used to convey linguistic information in a variety of linguistic formalisms.
Various definitions of feature structures exist; one dimension of variation is typing: unlike...
Phonetic feature analyzers and the processing of speech in infants
Phonetic feature analyzers processing speech infants
2015/8/14
Phonetic feature analyzers and the processing of speech in infants.
Feature Selection for a Rich HPSG Grammar Using Decision Trees
Feature Selection Rich HPSG Grammar Decision Trees
2015/6/12
This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over features in corresponding probabilistic context fr...
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Part-of-Speech Tagging Cyclic Dependency Network
2015/6/12
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of l...
Using Feature Conjunctions across Examples for Learning Pairwise Classifiers
Feature Conjunctions Learning Pairwise Classifiers
2015/6/12
We propose a kernel method for using combinations of features across example pairs in learning pairwise classifiers. Identifying two instances in the same class is an important technique in duplicate ...
Efficient, Feature-based, Conditional Random Field Parsing
Efficient Feature-based Conditional Random Field
2015/6/12
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parser...
The Roles of Feature-Specific Task Set and Bottom-Up Salience in Attentional Capture: An ERP Study
spatial attention top-down control vision inhibition event-related potentials
2015/4/7
We investigated the roles of top-down task set and bottom-up stimulus salience for feature-specific attentional capture. Spatially nonpredictive cues preceded search arrays that included a color-defin...
Two-Stage Continuous Speech Recognition Using Feature-Based Models: A Preliminary Study
Feature-Based Models Preliminary Study
2015/3/11
Two-Stage Continuous Speech Recognition Using Feature-Based Models: A Preliminary Study.
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
peech Recognition Dynamic Bayesian Networks
2015/3/11
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks.
Feature-based pronunciation modeling with trainable asynchrony probabilities
pronunciation modeling trainable asynchrony probabilities
2015/3/11
Feature-based pronunciation modeling with trainable asynchrony probabilities.