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[PDF] Top 20 A Cross Domain Transferable Neural Coherence Model

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A Cross Domain Transferable Neural Coherence Model

A Cross Domain Transferable Neural Coherence Model

... text coherence, so this is an imperfect proxy ...average coherence between ar- ticles marked for rewrite and articles that are ...our model trained for the Wiki-D protocol, and av- erage its output ... See full document

10

Cross Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators

Cross Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators

... source domain to initialize the model parameters of the target domain, and then fine-tune the parameters based on labeled data in the target domain (Yosin- ski et ...and domain-specific ... See full document

6

A Neural Local Coherence Model for Text Quality Assessment

A Neural Local Coherence Model for Text Quality Assessment

... 5-fold cross-validation over this ...a model is measured in terms of accuracy, which is the frac- tion of pairs that are correctly ranked by a model divided by the total number of ...of ... See full document

12

Neural Maximum Subgraph Parsing for Cross Domain Semantic Dependency Analysis

Neural Maximum Subgraph Parsing for Cross Domain Semantic Dependency Analysis

... utilize neural models, LSTMs in particular, to score either arcs or ...out-of- domain test sets for the DM and PAS data sets, and they obtain comparable results with the state- of-art parser on the PSD data ... See full document

11

How Transferable are Neural Networks in NLP Applications?

How Transferable are Neural Networks in NLP Applications?

... source domain to help model performance in a target ...to neural networks, which are very likely to be ...of neural network-based transfer learning. For neural NLP, however, existing ... See full document

11

Learning Transferable Feature Representations Using Neural Networks

Learning Transferable Feature Representations Using Neural Networks

... posed neural network architecture for learning common shared representation while limiting the source specific representation from negatively ef- fecting their generalizable capabilities in the target ...all ... See full document

11

Forecasting cross-border power transmission capacities in Central Western Europe using artificial neural networks

Forecasting cross-border power transmission capacities in Central Western Europe using artificial neural networks

... from cross-border electricity trading by efficiently providing coupling capacity between bidding ...capacity domain, making it difficult to fundamentally model the capacity calculation and to derive ... See full document

13

Fault Diagnosis of Gearbox with a Transferable Deep Neural Network

Fault Diagnosis of Gearbox with a Transferable Deep Neural Network

... source domain and unlabeled target domain data is minimized based on the collective minimization of the cross entropy loss and multi kernel maximum mean discrepancy (MMD) ...CNN model are ... See full document

9

A Detailed Evaluation of Neural Sequence to Sequence Models for In domain and Cross domain Text Simplification

A Detailed Evaluation of Neural Sequence to Sequence Models for In domain and Cross domain Text Simplification

... of neural sequence-to-sequence models in TS (Nisioi et ...on neural networks (Graves, 2012) with global attention in combination with input feeding (Luong et ...the model for 14 epochs, regard- less ... See full document

8

Cross Domain Generalization of Neural Constituency Parsers

Cross Domain Generalization of Neural Constituency Parsers

... in- domain WSJ and CTB Test sets), with improve- ments ranging from ...the model induces a correlation between span- level decisions that becomes most apparent when using a metric defined on the entire ... See full document

8

Transferable Attention for Domain Adaptation

Transferable Attention for Domain Adaptation

... deep domain adaptation methods gain huge im- provement, however, deep representations can only reduce, but not remove, the cross-domain discrepancy according to some recent research (Glorot, Bordes, ... See full document

8

Neural Net Models of Open domain Discourse Coherence

Neural Net Models of Open domain Discourse Coherence

... network model with a sigmoid function on the very top layer is employed to map the concatena- tion of representations of its constituent sentences to a scalar, indicating the probability of the current clique ... See full document

12

Identifying Transferable Information Across Domains for Cross domain Sentiment Classification

Identifying Transferable Information Across Domains for Cross domain Sentiment Classification

... of transferable knowledge for cross-domain text clas- sification are Structured Correspondence Learning (SCL) (Blitzer et ...(shift-unaware) model. SFA uses some domain-independent ... See full document

11

Intelligent Selection of Language Model Training Data

Intelligent Selection of Language Model Training Data

... the cross-entropy difference ...the cross-entropy according to the Europarl-trained model ...in- domain perplexity scoring method used by Lin et ... See full document

5

On the low-frequency component of the ENSO–Indian monsoon relationship: a paired proxy perspective

On the low-frequency component of the ENSO–Indian monsoon relationship: a paired proxy perspective

... frequency domain (30–90 yr), periods of increased ENSO variance were coincident with an increase in ISM ...high-frequency domain is not the same as that which couples them in the low-frequency ... See full document

12

Link-Prediction and its Application in Online Social Networks

Link-Prediction and its Application in Online Social Networks

... relationship model developed by the International Federation of Library Associations and Libraries (IFLA), which is an application model for describing bibliography records in the area of academic ... See full document

174

Coherence domain optical imaging techniques

Coherence domain optical imaging techniques

... I have enjoyed working in the friendly and creative research group of biophotonics at Caltech. Numerous discussions with lab colleagues during working hours and social hours frequently gave me inspiration and ideas. Dr. ... See full document

112

A POS based Ensemble Model for Cross domain Sentiment Classification

A POS based Ensemble Model for Cross domain Sentiment Classification

... for cross-domain sentiment classification mostly belong to the feature-based ...proposed cross- domain sentiment classification via spectral feature alignment and compared their method with ... See full document

9

Fast Gated Neural Domain Adaptation: Language Model as a Case Study

Fast Gated Neural Domain Adaptation: Language Model as a Case Study

... In neural network training, words are represented as distributed representations, so-called “word vec- tors”, which can be pre-trained or trained with a specific task in ...vector model is also learned with ... See full document

12

Regularization techniques for fine tuning in neural machine translation

Regularization techniques for fine tuning in neural machine translation

... Furthermore, we found that regularization tech- niques that we considered make training more ro- bust to overfitting, which is particularly helpful in scenarios where only small amounts of in-domain data is ... See full document

6

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