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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
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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...
Distributional Memory:A General Framework for Corpus-Based Semantics
Distributional Memory General Framework Corpus-Based Semantics
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2015/9/8
Research into corpus-based semantics has focused on the development of ad hoc models that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled by extracting diff...
A General Technique to Train Language Models on Language Models
Language Models Train Language Models
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2015/8/31
We show that under certain conditions, a language model can be trained on the basis of a
second language model. The main instance of the technique trains a finite automaton on the
basis of a p...
A General Framework for Parallel Distributed Processing
General Frameworkp Parallel Distributed Processing
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2015/6/19
In Chapter 1 and throughout this book, we describe a large number of models, each different in detail-each a variation on the parallel distributed processing (PDP) idea. These various models, and inde...
Distributed memory and the representation of general and specific information
Distributed memory general specific information
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2015/6/19
Distributed memory and the representation of general and specific information.
Retrieving general and specific information from stored knowledge of specifics
Retrieving general specific information stored knowledge
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2015/6/19
Retrieving general and specific information from stored knowledge of specifics.
A General Output Model of Hidden Markov Models and Its Applications to Chinese Segmentation and Tagging
General Output Model Chinese Segmentation Hidden Markov Models Tagging
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2009/2/6
When investigating the applicability and effectiveness of HMMs in Chinese segmentation and tagging, we propose a general framework for related extensions to HMMs, which accounts for contextual informa...