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Crowdsourcing and language studies: the new generation of linguistic data
Crowdsourcing language linguistic data
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2015/6/15
We present a compendium of recent and current projects that utilize crowdsourcing technologies for language studies, finding that the quality is comparable to controlled laboratory experiments, and in...
What’s Related?Generalizing Approaches to Related Articles in Medicine
What’s Related Generalizing Approaches Medicine
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2015/6/12
We did formative evaluations of several variations to the computation of related articles for non-bibliographic resources in the medical domain. METHODS: A binary mo del and several variations of the ...
Spectral Learning
Spectral Learning
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2015/6/12
We present a simple, easily implemented spectral learning algorithm that applies equally whether we have no supervisory information, pairwise link constraints, or labeled examples. In the unsupervised...
Exploring the Boundaries:Gene and Protein Identification in Biomedical Text
Gene and Protein Identification Biomedical Text
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2015/6/12
We present a maximum-entropy based system incorporating a diverse set of features for identifying genes and proteins in biomedical abstracts. This system was entered in the BioCreative comparative eva...
Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web
Biomedical Entity Recognition Syntax to the Web
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2015/6/12
We describe a machine learning system for the recognition of names in biomedical texts. The system makes extensive use of local and syntactic features within the text, as well as external resources in...
A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations
Identifying Named Entities Biomedical Text Two Evaluations Reflect Both the System and the Evaluations
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2015/6/12
We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstracts and present its performance in the only two biomedical Named Entity Recognition (NER) comparative...
Exploring the boundaries:gene and protein identification in biomedical text
Exploring the boundaries gene and protein biomedical text
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2015/6/12
Background: Good automatic information extraction tools offer hope for automatic processing of the exploding biomedical literature, and successful named entity recognition is a key component for such ...
Spectral Chinese Restaurant Processes:Nonparametric Clustering Based on Similarities
Spectral Chinese Restaurant Nonparametric Clustering Similarities
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2015/6/12
We introduce a new nonparametric clustering model which combines the recently proposed distance-dependent Chinese restaurant process (dd-CRP) and non-linear, spectral methods for dimensionality reduct...
Revisiting the Person Case Constraint in Czech
Person Case Constraint Czech
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2015/6/11
There has been disagreement in the literature about whether or not Czech, a language with second-position clitics, exhibits Person-Case Constraint effects (YES: Vos and Veselovská 1999, Franks and Kin...
Clitic doubling at the syntax-morphophonology interface
clitic doubling agreement A-movement morphological merger Bulgarian
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2015/6/11
True clitic doubling involves multiple expression of a single argument in different structural positions. In clitic doubling configurations of this kind, a clitic expresses features of its full nomina...
Verbal and nonverbal predictors of language-mediated anticipatory eye movements
Anticipatory eyemovements Predictive language processing Visual world paradigm Spatial cueing
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2015/5/13
During language comprehension, listeners often anticipate upcoming information. This can draw listeners’ overt attention to visually presented objects before the objects are referred to. We investigat...
The Behavioral and Neural Effects of Language on Motion Perception
Behavioral Neural Language Motion Perception
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2015/5/13
Perception does not function as an isolated module but is tightly linked with other cognitive functions. Several studies have demonstrated an influence of language on motion perception, but it remains...
Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings
Predicting the Semantic Category Internally Generated Words Neuromagnetic Recordings
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2015/5/13
In this study, we explore the possibility to predict the semantic category of words from brain signals in a free word generation task. Participants produced single words from different semantic catego...
Insights into the Genetic Foundations of Human Communication
Communication Speech and language Neurodevelopmental disorder Genetics FOXP2
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2015/5/13
The human capacity to acquire sophisticated language is unmatched in the animal kingdom. Despite the discontinuity in communicative abilities between humans and other primates, language is built on an...
Genetics and the Language Sciences
biological bases of language speech and language disorders gene regulation neural circuits personal genomics neuroimaging genetics
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2015/5/13
Theories addressing the biological basis of language must be built on an appreciation of the ways that molecular and neurobiological substrates can contribute to aspects of human cognition. Here, we l...