Generative model
Name Phylogeny: A Generative Model of String Variation
... Our generative model explains similarities among the strings by supposing that some strings in the collection were not generated ab initio , but were instead derived by transduction from other, “similar” ...
12
Recognizing Unseen Attribute-Object Pair with Generative Model
... the model applicable to complex datasets that cover various object and attribute classes, some good models are proposed (Wang et ...a generative model with encoder-decoder mechanism which is ...
8
Bayesian Document Generative Model with Explicit Multiple Topics
... to model this relationship with a probabilistic generative ...probabilistic generative model for documents with multiple topics is a probability model of the process of generating ...
9
Dynamic Generative model for Diachronic Sense Emergence Detection
... As time passes words can acquire meanings they did not previously have, such as the ‘twitter post’ usage of ‘tweet’. We address how this can be detected from time-stamped raw text. We propose a generative ...
12
Using a Generative Model for Sentiment Analysis
... In this paper, the authors have presented a new language modeling approach for sentiment classification. To this generative model, the terms of a domain are introduced as counting terms, and their contexts ...
20
A Generative Model for Parsing Natural Language to Meaning Representations
... a generative model of natural lan- guage sentences together with their for- mal meaning representations with hierarchi- cal ...The model is applied to the task of mapping sentences to hierarchical ...
10
A Generative Model for Dynamic Networks with Applications
... a generative model, which we call Evolv- ing Latent Space Model (ELSM), for dynamic networks of the type mentioned ...our model over existing models (Xing, Fu, and Song 2010; Foulds et ...our ...
8
A Probabilistic Generative Model of Linguistic Typology
... a generative model that corresponds to a generative tradition of research in linguistic ...in generative grammar focused primarily on English (Harris, ...the generative grammarians ...
12
A Generative Model for User Simulation in a Spatial Navigation Domain
... a generative model to simulate user behaviour in a novel task- oriented dialog domain, where user goals are spatial routes across artificial land- ...a generative model allows us to capture a ...
10
A Probabilistic Generative Model for an Intermediate Constituency Dependency Representation
... This section describes the probabilistic generative model which was implemented in order to dis- ambiguate TDS structures. We have chosen the same strategy we have described in (Sangati et al., 2009). The ...
6
TransG : A Generative Model for Knowledge Graph Embedding
... erative model (TransG) to address the is- sue of multiple relation semantics that a relation may have multiple meanings re- vealed by the entity pairs associated with the corresponding ...new model can ...
10
EmojiGAN: learning emojis distributions with a generative model
... we model the distribution of emojis conditioned on an image with a deep generative ...use generative adversarial networks (GANs) (Goodfellow et ...
7
A Generative Model for Extracting Parallel Fragments from Comparable Documents
... The Model based Lexicon Induction ap- proach contains works that suggest a model for extracting parallel ...a generative model based on Canonical Correlation Analysis (CCA) (Hardoon, et ...
9
Constructing narrative using a generative model and continuous action policies
... SkipGram Model given in Figure 1a and 10 by the DDPG ...the generative model and the DDPG agent ...tive model followed almost exactly the story found in the ...the model that arises ...
6
A Generative Model for Separating Illumination and Reflectance from Images
... Markov Model (HMM) where the source emission probabilities are assumed to be ...ICA generative model assumes the data to be an instant mixture of independent components with the mixing matrix ...
21
Deep Generative Model for Joint Alignment and Word Representation
... skip-gram model as a conditional varia- tional ...their model is the closest to ...our model, the Bayesian skip-gram is not trained generatively by reconstructing the data, but rather ...
13
NeVAE: A Deep Generative Model for Molecular Graphs
... deep generative models for text generation for molecule ...deep generative models for molecular graphs, in which atoms correspond to nodes and bonds correspond to ...current generative models for ...
8
A Generative Model of Phonotactics
... Although there have been a number of earlier gen- erative models of phonotactic structure (see Sec- tion 4) these models have mostly used relatively simplistic or phonologically implausible representa- tions of phones ...
14
Evaluating the effect of word frequencies in a probabilistic generative model of morphology
... tive model describes the joint distribution of mor- phological analyses and word ...morphological model represents types, that is, disregarding word fre- quencies in corpora, or tokens, ...
8
Unsupervised Name Ambiguity Resolution Using A Generative Model
... For the name discrimination task (Section 4.1), we are given a set of senses to choose from and hence we can use this value to fix the number of top- ics (senses) K in LDA. However, it is possible that the number of ...
8