[PDF] Top 20 Metric Learning for Synonym Acquisition
Has 10000 "Metric Learning for Synonym Acquisition" found on our website. Below are the top 20 most common "Metric Learning for Synonym Acquisition".
Metric Learning for Synonym Acquisition
... generic metric learning. Most previous metric learning methods learn the parameters of the Mahalanobis ...information-theoretic metric learning proposed by (Davis et ... See full document
8
Preliminary study on an ontology learning from textual data
... terminology acquisition step, we would find relevant term such as disease, illness, ...At synonym discovery step, we might group together disease and illness as in certain context they are ...of ... See full document
6
Selection of Effective Contextual Information for Automatic Synonym Acquisition
... similarity metric based on mutual information, but no exploration concerning the effectiveness of other kinds of word relationship is provided, although it is extendable to any kinds of contextual ...similarity ... See full document
8
Effects of Collocation Information on Learning Lexical Semantics for Near Synonym Distinction
... Two sets of tests are conducted to explore and verify the effects of collocation information on lexical semantics acquisition and near synonym distinction. In the first test, we walked through the process ... See full document
16
A Supervised Learning Approach to Automatic Synonym Identification Based on Distributional Features
... knowledge acquisition in general, a variety of sys- tems which utilized syntactic patterns are found in the ...machine learning is easily incorporated with syntactic ...machine learning and syntactic ... See full document
6
Learning Better Data Representation Using Inference Driven Metric Learning
... In this paper, we compared the effectiveness of the transformed spaces learned by recently proposed supervised, and semi-supervised metric learning algorithms to those generated by previ- ously proposed ... See full document
5
Addressing Foreign Language Learning Anxiety with Facebook
... Through an action research intervention, the present study aimed to improve as much as possible on the aqui- sition situation by addressing issues of affect. Krashen posited that the Affective Filter prevents students ... See full document
12
A review on multi-task metric learning
... multi-task learning was proposed by Caruana [8] in 1997, this topic has attracted much attention from researchers in machine ...simultaneously learning multiple tasks for conventional models, such as linear ... See full document
23
Practical Obstacles to Deploying Active Learning
... successor, acquisition function) com- binations lead to performance greater than that achieved using ...which acquisition and succes- sor models differ) outperform the ... See full document
10
Vol 2, No 2 (2017)
... "the learning process and teaching materials must be integrated and related to the process of child development" the development is psychologically related to intellectual intelligence (IQ), emotional ... See full document
5
Errors in the learning of Italian as a foreign language: a contribution to the debate on the difference between acquiring a language in natural circumstances and learning a language in a classroom
... The present study is based on the distinction between Second Language Acquisition (SLA), the acquisition of an L2 in a natural context, and Foreign Language Learning (FLL) in[r] ... See full document
423
Advance Alert Monitor
... language acquisition by showing a full investigation using quantitative method to collect and analyze data, while exploring the relationship among language proficiency, target culture experience and intercultural ... See full document
100
Cost Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data
... using synonym replace- ment, ...including synonym replacement as described above, and random deletion, ...cost-sensitive learning versus two data augmentation methods, synonym replacement and ... See full document
10
Metric Learning for Graph Based Domain Adaptation
... automatically labels the unlabeled instances using some existing graph based SSL algorithm, and then includes a subset of the labeled instances in the training set for the next round of metric learning. ... See full document
10
Lexicon acquisition in an interdisciplinary learning context
... The project arose from empiric observation, at high secondary level, of learning troubles in diverse curricular subjects, which appear to be connected with student literacy level. Those troubles are generally ... See full document
11
Sentiment Classification Based on Adaboost Algorithm for Product Aspect Ranking
... The author collect synonym terms of aspect .The ISODATA (Iterative Self-Organizing Data Analysis Technique) clustering algorithm is employed for synonym clustering. For the increasing [r] ... See full document
6
Letters to the Editor
... These include II as a synonym for homeostasis, II as a label for our ignorance, II as a vitalistic explanation of life, and II as a metaphysical assumption.. Innate as synonym for homeos[r] ... See full document
7
Distance Metric Learning with Eigenvalue Optimization
... As we can see from Table 4, DML-eig consistently improves k-NN classification using Euclidean distance on most data sets. Hence, learning a Mahalanobis metric from training data does lead to improvements in ... See full document
26
Metric Learning for Dynamic Text Classification
... We propose to address the problem of dy- namic text classification by replacing the tra- ditional, fixed-size output layer with a learned, semantically meaningful metric space. Here the distances between textual ... See full document
10
Metric learning with convex optimization
... a metric has a direct effect on the performance of many algorithms such as the simplest k-NN classifier and some clustering ...on learning a good metric for pattern recognition and data ...good ... See full document
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