Automatic Classification (Machine Learning)
Automatic classification of German an particle verbs
... the automatic classification of Ger- man an particle verbs, with an explicit interest concerning the interface of theoretical and computational perspectives on the semantic properties of the particles and ...
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Automatic Classification of Mobile Phone Contacts
... the automatic classification of contacts in phones’ contact lists, using the user’s communication ...manual classification of mo- bile phone ...
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Automatic Classification of Online News Headlines
... specifically automatic document classification, could be used to classify news stories into their website-assigned news category based on the text contained in the story ...The automatic ...
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Automatic Classification of Verbs in Biomedical Texts
... of automatic classification by seeding it with domain-specific information ...bigger classification for practical BIO - NLP ap- plication ...whether automatic acquisition techniques benefit, ...
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Automatic Classification of Phonocardiogram
... the automatic classification algorithm results reveals a great deal of information about the nature of heart ...the classification or in other words there was minimal noise. Classification ...
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Automatic Classification of Epilepsy Lesions
... the classification exper- iments and the best accuracy rate we get is ...image classification and au- tomatic quantification of focal cortical dysplasia in the correlation study of MRI and epilepsy ...
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Automatic Classification of Microlensing Candidates
... It is both exciting and important to look for life beyond our planet. To find signs of life on distant planets, there is a need to search across the vast space that surrounds us and find planets outside our solar system, ...
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Automatic classification of citation function
... The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improve- ment of impact factor calculations to text summarisation and more informative ci- tation ...
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Automatic classification of television commercials
... The question is why a larger vocabulary is not necessarily better than a small one. The answer can be found in [WCM05]. If two different visual ’words’ do not help discriminate between classes there is no point to ...
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Automatic Classification of Cataract based on Deep Learnig
... Cataract is a serious eye disease which may cause blindness. Early detection is of high significance to the treatment of cataract, which reduces the risk of patients to turning into blindness. Some stud- ies were ...
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Automatic Classification of Communicative Functions of Definiteness
... discriminative classification, treating the functional categories from §2 as output labels y and various lexical, morphological, and syntactic characteristics of the language as features of the input ...
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Automatic Classification of WordNet Morphosemantic Relations
... Following the observations that for languages with rich derivational morphology wordnets can re- cover vast amount of semantic information (Bilgin et al., 2004; Pala and Hlav´aˇckov´a, 2007; Koeva et al., 2008; Barbu ...
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Annotation and Automatic Classification of Aspectual Categories
... Falk and Martin (2016) annotated 1,200 French verb tokens, modelling aspectual ambiguity di- rectly in their aspectual classification; this is based on Vendler classes but adds four ambiguity classes, e.g., for ...
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Automatic Emotion Classification for Interpersonal Communication
... emotion classification task based on Leary’s Rose, a framework for interpersonal ...several automatic classification systems when classifying individual sentences according to the four quadrants and ...
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Automatic Tripartite Classification of Intransitive Verbs
... a classification model by em- ploying a Support Vector Machine (SVM) for the automatic classification of intransitive verbs in the triparite classification ...
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Crosslinguistic Transfer in Automatic Verb Classification
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Automatic Severity Level Classification of Diabetic Retinopathy
... For classification, they calculated the entropy and homogeneity with reported accuracy over ...for classification, only two classes were considered; normal and ...
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Automatic Hierarchical Color Image Classification
... a classification tree from training ...the classification tree, we aim to choose the best modeling of the training ...this classification, we then split the classes into two subclasses such that the ...
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Automatic Corpora Construction for Text Classification
... have proven to be successful (Miao and Kamel, 2011; Sebastiani, 2002). In the machine learn- ing approach, the learning process is an instance of supervised or semi-supervised learning because classifier can be built ...
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Automatic Document Classification Temporally Robust
... tasks. Automatic Document Classification (ADC) associates documents to semantically meaningful categories, and usually employs a supervised learning strategy, where we first build a classification ...
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