[PDF] Top 20 Better Exploiting Latent Variables in Text Modeling
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Better Exploiting Latent Variables in Text Modeling
... in text model- ing. At the beginning of training, the latent vari- able z contains a small amount of information about the input ...Many latent units of z are pulled towards the prior early to ... See full document
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Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search
... We have evaluated and compared the IR mod- els in average Precision-Recall (P-R) curves, av- erage F-measure-Recall (F-R) curves, and mean average precision (MAP) values (Baeza-Yates and Ribeiro-Neto, 1999; Manning, et ... See full document
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Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model
... The trade-off between sparsity and smoothness is a known issue in the topic modeling literature (Wang and Blei, 2009). Aspects of it were also discussed in recent literature by Srivastava and Sutton (2017, 2018). ... See full document
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QuaSE: Sequence Editing under Quantifiable Guidance
... by modeling their content similarity and out- come differences to enable a better disentan- glement of the latent factors, which allows generating an output to better satisfy the de- sired ... See full document
10
Latent Variable Generative Models for Data Efficient Text Classification
... generative text classifiers by introducing discrete latent variables into the generative story, and explore several graphical model ...guage modeling and perform learning by di- rectly ... See full document
11
Deep Recurrent Generative Decoder for Abstractive Text Summarization
... a latent structure modeling com- ...sequence modeling related ...the latent variables of VAEs and propose a deep recurrent generative decoder (DRGD) for latent structure ... See full document
10
Exploiting Sentence Similarities for Better Alignments
... Aligning words and phrases between pairs of sen- tences is widely studied in NLP. Machine translation has a rich research history of using alignments (for e.g., (Koehn et al., 2003; Och and Ney, 2003)), go- ing back to ... See full document
11
Categorizing Research Papers By Topics Using Latent Dirichlet Allocation Model
... in text analysis follow the Bag of Words model, where all the words in a document are considered and the relationship among the words is ...of text, the conventional algorithms that follow the Bag of Words ... See full document
5
A Novel Approach to Scene Text Deblurring With Accurate Estimation of Kernels
... Scene text deblurring using Text specific multiscale dictionaries is a novel method for the task of scene text image deblurring by exploiting the characteristics of the text ...the ... See full document
7
Modeling Semantic Relationship in Multi turn Conversations with Hierarchical Latent Variables
... pair-level latent variables, responses are more ...of variables learn high level semantic information, utterance-level ones serve better on expression diversion, also im- prove sentence ... See full document
6
Piecewise Latent Variables for Neural Variational Text Processing
... of latent vari- ables for complex natural language processing ...document modeling and dialogue modeling ...document modeling tasks, and have demonstrated substantial improvements on a ... See full document
11
Disambiguating Latent Variables
... demarcate variables pragmatically: simply read off their status from the measurement or structural equation ...a latent variable, then length is a latent variable in that model ...equation ... See full document
20
Spectral Dependency Parsing with Latent Variables
... to latent vari- able dependency trees like us but under the restric- tive conditions that model parameters are trained for a specified, albeit arbitrary, tree ... See full document
9
Inference and decision making in large weakly dependent graphical models
... An alternative class of algorithms is obtained by considering an outer approximation, where the set of parameters must satisfy a number of consistency relationships that arise from local neighbourhood relationships in ... See full document
188
Structural equation modeling with latent variables for longitudinal blood pressure traits using general pedigrees
... equation modeling (SEM) has been used in a wide range of applied sciences as well as in genetic analysis [1, 2], particularly for longitudinal data analysis [3, ...of latent measure- ment models and ... See full document
5
Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
... mediating variables between the review outcome and the observed ...the variables as well as the chain of cause and ...the variables when defining the practical ...of latent variables ... See full document
7
Dietary quality and its structural relationships among equivalent income, emotional well-being, and a five-year subjective health in Japanese middle-aged urban dwellers
... three latent variables for a structural equation modeling (SEM), five-year subjective health reported in 2003 and in 2008, dietary quality of principle food groups diversity and eating behavior in ... See full document
15
Malayalam Text Summarization Using Graph Based Method
... automatic text summarization. Text summarization methods include statistical, linguistics and heuristics ...approach Latent Semantic Analysis is widely used in information retrieval and text ... See full document
5
Better Informed Training of Latent Syntactic Features
... Many things are equally learned by both mod- els: They learn the difference between subordinat- ing conjunctions (while, if ) and prepositions (un- der, after), putting them in distinct groups of the original IN tag, ... See full document
10
Exploiting Fast-Variables to Understand Population Dynamics and Evolution
... As indicated above this system has 2 D variables which in the microscopic model are n (α) i , where i = 1, . . . , D labels the islands and α = 1, 2 labels the allele. The comment made above concerning SLVC models ... See full document
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