Paper Info
Title
Augmenting word2vec with latent Dirichlet allocation within a clinical application.
Abstract
This paper presents three hybrid models that directly combine latent Dirichlet allocation and word embedding for distinguishing between speakers with and without Alzheimeru0027s disease from transcripts of picture descriptions. Two of our models get F-scores over the current state-of-the-art using automatic methods on the DementiaBank dataset.
Year
Venue
Field
2018
arXiv: Computation and Language
Latent Dirichlet allocation,Computer science,Artificial intelligence,Word2vec,Machine learning
DocType
Volume
Citations 
Journal
abs/1808.03967
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Akshay Budhkar100.34
Frank Rudzicz223144.82