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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       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...
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...
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
Osteoblast induction and differentiation in developing long bones is dynamically controlled by the opposing action of transcriptional activators and repressors. In contrast to the long list of activat...

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