[PDF] Top 20 Machine Learning Approach to Evaluate MultiLingual Summaries
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Machine Learning Approach to Evaluate MultiLingual Summaries
... several single and ensemble learning classifiers. In the case of cross validation method, the re- sults show that the model built from the ”en- semble learning” classifier ”Bagging” produced the best ... See full document
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A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
... The task of ordering sentences arises in many fields. Multidocument Summa- rization (MDS) [5], Question and Answer (QA) systems and concept to text generation systems are some of them. These systems extract information ... See full document
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Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... The use of multiple encoders and decoders was first studied in the context of neural MT. Dong et al. (2015) used multiple decoders, i.e. 1:N training, to achieve improved NMT performance. Zoph and Knight (2016) and Firat ... See full document
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Machine Learning for Mention Head Detection in Multilingual Coreference Resolution
... In the context of the CoNLL-2012 shared task, one simple type of NP that is difficult to capture by heuristics across languages consists of phrases containing a combination of titles, such as Mr., or Dr., and proper ... See full document
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A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... Once an appropriate set of features has been selected and tools to automatically extract those features are in place, classifiers can be built and evaluated quickly. This overcomes the two problems associated with ... See full document
8
Machine Learning and Feature Selection Approach for Anomaly based Intrusion Detection: A Systematic Novice Approach
... huge data with high dimension feature set. Redundant, irrelevant, and extra features can degrade the performance and increase the computation time of NIDSs. Hence, feature selection may be considered as preprocessing ... See full document
10
Extraction and Evaluation of Keywords from Learning Objects: a Multilingual Approach
... supervised learning methods, where a system is trained to recognize keywords in a text, based on lexical and syntactic ...an approach which could be easily adapted to several ...a machine learn- ing ... See full document
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A Machine Learning Approach for Phenotype Name Recognition
... To evaluate the system, 10-fold cross validation has been used. Also the system has been tested using a separate test set. Table 2 gives the details of the results. The base system is our machine ... See full document
16
Performance Evaluation of Learning Classifiers for Speech Emotions Corpus using Combinations of Prosodic Features
... Pakistan. Multilingual speech emotion corpus is realized due to lack of ...a multilingual speech emotion corpus recorded in the provincial languages of Pakistan and attempt to evaluate the ... See full document
9
Active Learning for Multilingual Statistical Machine Translation
... While we use consensus translations (He et al., 2008; Rosti et al., 2007; Matusov et al., 2006) as an effective method for co-training in this pa- per, unlike consensus for system combination, the source languages for ... See full document
9
Automatic Identification of Bengali Noun Noun Compounds Using Random Forest
... symbolic approach to multi- word extraction that uses large-scale semantically classified multiword expression template database and semantic field information assigned to MWEs by the USAS semantic tagger (Paul ... See full document
9
Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... Use of technology in agriculture can change the situation of decision making and farmers can yield in better way. Optimum crop prediction system with the help of ID3 algorithm and data mining will help the farmer to make ... See full document
5
Dual Training and Dual Prediction for Polarity Classification
... In this work, we propose a novel approach, called dual training and dual prediction (DTDP), to address the polarity shift problem. By taking advantage of the unique nature of polarity classi- fication, DTDP is ... See full document
5
Named Entity Recognition for Telugu Language
... Abstract—Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify elements in text into predefined categories such as names of persons, locations, organizations, date, ... See full document
8
Advanced Machine Learning Approach: Deep Learning
... The reports conferred on top of illustrated that Deep Learning encompasses a heap of potential, however must overcome a number of challenges before changing into additional versatile tool. The interest and ... See full document
5
Intelligent Model for Classification of SPAM and HAM
... Negative. Machine Learning Self adaptive methods like SVM, HMM and also Non Machine Learning methods like KNN are quite ...collaborative approach where multiple methods are used. Both ... See full document
5
Ensemble Learning Approach to Improve Existing Models
... our approach in regard to accuracy com-parison the Auto MPG dataset from UCI Machine Learning repository is used and for explaning Extrapolation concept and use of Ensemble Method [10] in it Annual ... See full document
5
A Machine Learning Approach for the Discovery of
... structure for most of the full agonist trajectory, whereas in the inverse agonist bound trajectories these 440. residues are in a more disordered conformation[r] ... See full document
23
Prediction Of Misclassification Data Based On Cognitive Computation Approach (CCA)
... Generally machine learning techniques are analysed in different categories in terms of predicting the incomplete values of large datasets, which propose outstanding performance or response from ... See full document
8
Instant Answering By Machine Learning Approach
... worldwide learning approaches, which are firmly connected and commonly ...worldwide learning. Neighborhood mining approach, nonetheless, might experience the ill effects of data misfortune and lower ... See full document
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