[PDF] Top 20 Graph based Semi Supervised Learning of Translation Models from Monolingual Data
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Graph based Semi Supervised Learning of Translation Models from Monolingual Data
... phrase-based translation learns translation rules from bilingual corpora, and has traditionally only used monolin- gual evidence to construct features that rescore existing translation ... See full document
11
Improving Neural Machine Translation Models with Monolingual Data
... Language models trained on monolingual data have played a central role in statistical machine translation since the first IBM models (Brown et ...phrase-based translation ... See full document
11
Graph Based Semi Supervised Learning Approach for Tamil POS tagging
... Graph based semi-supervised learning (SSL) has gained traction in Natural Language Processing tasks such as ques- tion answering (Celikyilmaz et ...2016). Graph based SSL ... See full document
6
Augmented Parsing of Unknown Word by Graph-Based Semi-Supervised Learning
... first graph. The graph construction is ...of graph construction from (Subramanya et ...weighted graph , in which as the set of vertices, which covers all trigrams extracted from ... See full document
9
Semi Supervised Learning for Neural Machine Translation
... exploit monolingual corpora to improve NMT. We propose a semi- supervised approach for training NMT models on the concatenation of labeled (parallel corpora) and unlabeled (mono- lingual ... See full document
10
Learning Digital Geographies through a Graph-Based Semi-supervised Approach
... visual data an interesting area to ...photos from Flickr that users have tagged with keywords such as “downtown” or “citycentre” to explore a user-defined centre of a ...help from the rising ... See full document
26
High quality Training Data Selection using Latent Topics for Graph based Semi supervised Learning
... of graph-based semi-supervised ...label based on the assumption that the nodes linked to each other in a graph should belong to the same cate- ...training data among all n ... See full document
6
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
... of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal ...a semi-supervised framework that incorporates labeled and unlabeled ... See full document
36
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
... labeled data. Considering the vast amount of unlabeled data available on the web, it is important to make use of these data in conjunction with a small set of labeled data to train a deep ... See full document
8
Learning a Phrase based Translation Model from Monolingual Data with Application to Domain Adaptation
... chine translation (SMT) models are trained with the parallel corpora in some specific ...word-based translation model from the monolingual ...model from the ... See full document
10
Chinese Named Entity Recognition with Graph based Semi supervised Learning Model
... The graph-based semi-supervised learning (GBSSL) methods have been successfully em- ployed by many ...tagging models; Zeng et ...unlabeled data to enhance the CRF ... See full document
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Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning
... one-layer graph rank- ing algorithms such as Manifold and LexRank, where topic information is neglected, achieve worse results than all two-layer models where topic information is considered (See Table ... See full document
11
Multi Label Text Classification through Label Propagation
... text data has been an active area of research for a long ...Multi-label learning deals with such ambiguous ...approach based on semi supervised learning for Multi Label Text ... See full document
6
Experiments in Graph Based Semi Supervised Learning Methods for Class Instance Acquisition
... Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text col- ...different ... See full document
9
Semi Supervised Neural Machine Translation with Language Models
... generated from WMT’14 En–Fr data (see sec- tion 4), and all the reported results are obtained from ...translate from English to French in less than 8 hours of training on NVIDIA GeForce GTX ... See full document
8
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
... in graph-based semi-supervised learn- ...transductive learning on graphs with Laplacian regular- ...the graph. Specifically, by introducing a definition of graph cut ... See full document
29
Graph Based Semi Supervised Learning for Natural Language Understanding
... unlabeled data, but only a limited amount of labeled ...training data portion further, so that only 10% of the labeled training data is used for model ...training data would be considered as ... See full document
8
Graph-based Semi-supervised Learning for Indoor Localization Using Crowdsourced Data
... weighted graph is constructed using both labelled and unlabelled ...this graph, the vertices represent the training data and all the vertices are connected by ...training data, represents the ... See full document
22
A Review on health care examination records using data mining
... of learning the design for risk of unhealthy life in future lies in the unlabeled data which is a very integral part of the dataset which consist of the person’s data who is perfectly healthy and ... See full document
5
Learning Translation Models from Monolingual Continuous Representations
... Translation models often fail to generate good translations for infrequent words or ...new translation rules from monolin- gual data with a semi-supervised ...new ... See full document
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