[PDF] Top 20 A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set
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A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set
... SubsetEval using the RankSearch Filter as search method (CFS R), CFS SubsetEval using the BestFirst as search method (CFS BF), CBF SubsetEval using the Ranking Filter (C R), and CBF SubsetEval ... See full document
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Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat
... Adaptable Machine Learning approach to Extract Terminology and is a supervised methodology for ATE based on the data described in (Rigouts Terryn et ...different feature groups: mor- ... See full document
10
Volume 3, Issue 3, March 2014 Page 360
... information extraction and a machine-learning algorithm for text ...different automatic learning algorithms for text categorization in terms of learning speed, real-time ... See full document
5
Iterative Chinese Bi gram Term Extraction Using Machine learning Classification Approach
... iterative machine-learning term-extraction ...Vector Machine (SVM) is exploited as the core of our learning ...specified term, the first step of our proposed ... See full document
14
Machine Learning Based Speech Emotions Recognition System
... segments using Voice Activity Detection (VAD) ...without feature selection, raw data is used as ...deep learning methods are used to make effective models ...deep learning methods used for ... See full document
8
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... The automatic evaluation of machine translation (MT) has proven to be a very significant research ...Most automatic evaluation methods focus on the evalua- tion of the output of MT as they compute ... See full document
9
Automatic face image annotation using machine learning techniques
... different set of facial images with different ...semi-supervised approach which predicts the approximate age of a ...in feature extraction phase, ... See full document
6
Rough Set Approach in Machine Learning: A Review
... incremental approach to clustering interval ...its approach to verification and validation, concentrating particularly on recent extensions which use Rough Set Theory for verification and Formal ... See full document
13
SeeDev Binary Event Extraction using SVMs and a Rich Feature Set
... and machine learning (ML) based ...a set of rules that are manually defined or semi-automatically inferred from the training data (Abacha and Zweigenbaum, ...tected using a dictionary, then ... See full document
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A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... appropriate set of features has been selected and tools to automatically extract those features are in place, classifiers can be built and evaluated ...automated approach is essential when dealing with an ... See full document
8
A Machine Learning Framework Using Distinctive Feature Extraction for Hand Gesture Recognition
... A pre-trained Google Net architecture representing a real- time sign language interpreter is described while developing the architecture with ILSVRC2012 dataset as training sets [19]. The idea is based on Convolution ... See full document
10
Product Aspect Ranking
... of machine learning into supervised and unsupervised ...simplest approach was to use near-duplicate reviews as examples of deceptive ...best feature and most efficient classification ... See full document
5
Machine Learning for Real Estate Contracts – Automatic Categorization of Text
... for automatic text classification and analyses existing solutions to major issues such as dealing with unstructured text, handling large number of features and selecting a machine learning technique ... See full document
6
Wavelet Transform Based Feature Extraction and Classification of Atrial Fibrillation Arrhythmia
... on automatic feature extraction and classification of atrial fibrillation arrhythmic patients based on combined approach of wavelet transformation and recurrence quantification ...The ... See full document
11
Cosine Similarity for Article Section Classification: Using Structured Abstracts as a Proxy for an Annotated Corpus
... a term that can be applied to just any home that has been motorized; a house boat with an outboard motor is not something that we would call a “motor home”, despite fulfilling the meaning of each constituent ... See full document
104
THE TRANSITION FROM 4G TO 5G BY EMPLOYING FEMTO CELLS PROVEN THROUGH DATA RATE, PLR AND DELAY
... unique feature vector among other users. In other words, whether the feature vector FV is unique to those of other individuals or ...proposed feature extraction consists of Histogram ... See full document
12
Improving Information Extraction using a Probability-Based Approach
... second approach is to use collaborative filtering, which relies on the interactions between users to identify common task experiences and to recom m end useful information [7], It is easier to reuse information ... See full document
13
A Feature-Based Approach to Conceptual Design Process
... Product design is an iterative, complex and decision-making process, performed by designers. It usually starts with recognising and specifying requirements and demands, followed by searching for an optimum solution for ... See full document
12
A concurrent approach to the automatic extraction of subsegmental primes and phonological constituents from speech
... A concurrent approach to the automatic extraction of subsegmental primes and phonological constituents from speech A concurrent approach to the automatic extraction of subsegmental primes and phonolog[.] ... See full document
5
Visual Information Retrieval for Videos Based on Feature Extraction using Machine Learning Techniques
... similar shots compared with the algorithm based on support vector machine. Support Vector Machine algorithm can perform twenty times faster than the other algorithms. The reason is that the proposed search ... See full document
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