[PDF] Top 20 Text Classification with Few Examples using Controlled Generalization
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Text Classification with Few Examples using Controlled Generalization
... Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017. Ex machina: Personal attacks seen at scale. In Proceedings of the 26th International Conference on World Wide Web, pages 1391–1399. International World Wide Web ... See full document
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Virtual Examples for Text Classification with Support Vector Machines
... one using virtual examples (artificially created exam- ples) generated from labeled ...virtual examples in text ...virtual examples of doc- uments in natural language and then requested ... See full document
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An Effective Supervised Streamed Text Classification Approach for Mining Positive and Negative Examples
... of text mining. This survey paper is based on effective classification of streamed data for text mining by PNLH & one-class classification SVM for text contained audit, we consider ... See full document
6
Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples
... The nex-cv metric uses plausible negative examples to perform actionable, model-agnostic evaluation of text classification as a component in a chatbot system. It was developed, validated, and used at ... See full document
9
HotFlip: White Box Adversarial Examples for Text Classification
... Adversarial examples are inputs to a predictive machine learning model that are maliciously de- signed to cause poor performance (Goodfellow et ...Adversarial examples expose re- gions of the input space ... See full document
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Estimating the Credibility of Examples in Automatic Document Classification
... some text classification scenarios, the cost of running SVM in a multi-class problem is very ...experiments using Na¨ıve Bayes, as detailed in Section ... See full document
16
REVIEW ON TEXT CLASSIFICATION USING DIFFERENT CLASSIFICATION TECHNIQUES
... The Text not only expresses a vast range of information, but also automatically encodes the information in the form that is difficult to ...are examples of structured data, and the term “unstructured data” ... See full document
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Open Set Text Classification Using CNNs
... k-nearest examples to the centroid of every training ...these examples as k-Class Activation Vectors ...image classification, the k-CAVs of a class are used represent a class more accurately than a ... See full document
10
Multiclass Text Classification on Unbalanced, Sparse and Noisy Data
... of text classification on data that is difficult to classify due to a large number of unbalanced classes with noisy ...a classification task unsatisfactorily—however, with contem- porary methods, it ... See full document
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Induction Networks for Few Shot Text Classification
... very few labeled examples. The limi- tation of only one or very few examples challenges the standard fine-tuning method in deep ...to few-shot learning often decom- pose the training ... See full document
10
Text Classification using String Kernels
... negative examples and introducing a weighting scheme will improve ...consider using the fast approximation with very few features to obtain a very coarse Gram ... See full document
26
Diverse Few Shot Text Classification with Multiple Metrics
... Few Shot Learning FSL (Li et al., 2006; Miller et al., 2000) aims to learn classifiers for new classes with only a few training examples per class. Bayesian Program Induction (Lake et al., 2015) ... See full document
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Building Systematic Reviews Using Automatic Text Classification Techniques
... review. Examples of questions present in the protocol: Is this article about a dissemination strategy or a behavioral intervention?; Is this a primary study?; Is this a review?; ... See full document
9
Learning and Teaching Ethics through Stories: A Few Examples from the Buddhist Tradition
... This story which takes a few verses from the DHAMMAPADA [31], one of the sacred scriptures in Buddhism, can be considered to represent the essence of the teachings of the Buddha. It can be seen that the first ... See full document
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Machine Learning for Real Estate Contracts – Automatic Categorization of Text
... document text required to classify documents into the classes to which they are ...training text and define four sets of manual rules, like relevant and irrelevant terms, positive and negative that ... See full document
6
Motivations among the Cream of the Crop
... This is a motivational study from a participant who received the top-notch award. The study was designed to expose the secrets toward academic achievement. It utilized the descriptive case study type on the real-life ... See full document
26
The identity of higher education lecturers in further education colleges
... Underlying the move away from local authority control was the neo-liberal agenda of the 1990s and the consequential marketisation of further and higher education (Brown and Carasso, 2013; Simmons and Lea 2013). This ... See full document
254
Text Categorization using Modified Classification Techniques
... [2] Text order is a procedure in information mining which appoints predefined classes to free-text archives utilizing machine learning ...as text, picture, music, and so on can be grouped utilizing ... See full document
6
Student Performance Classification using Adap...
... by using a data mining approach on the available ...by using the data mining approach is shown in Figure ...clustering using K-mean approach is used as a data mining approach ... See full document
9
Classification of South African languages using text and acoustic based methods: A case of six selected languages
... the classification of similar objects into different groups, or more precisely, the parti- tioning of a data set into subsets, so that the data in each subset share some common trait according to a defined ... See full document
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