14 citations · 31 across the 5 of their papers we have counts for
5 papers
Generating lyrics with variational autoencoder and multi-modal artist embeddings
Olga Vechtomova, Hareesh Bahuleyan, Amirpasha Ghabussi +1
We present a system for generating song lyrics lines conditioned on the style of a specified artist. The system uses a variational autoencoder with artist embeddings. We propose th…
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan +1
This paper tackles the problem of disentangling the latent variables of style and content in language models. We propose a simple yet effective approach, which incorporates auxilia…
Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
Vineet John, Olga Vechtomova
This paper discusses the approach taken by the UWaterloo team to arrive at a solution for the Fine-Grained Sentiment Analysis problem posed by Task 5 of SemEval 2017. The paper des…
A Survey of Neural Network Techniques for Feature Extraction from Text
Vineet John
This paper aims to catalyze the discussions about text feature extraction techniques using neural network architectures. The research questions discussed in the paper focus on the…
Rapid-Rate: A Framework for Semi-supervised Real-time Sentiment Trend Detection in Unstructured Big Data
Vineet John
Commercial establishments like restaurants, service centres and retailers have several sources of customer feedback about products and services, most of which need not be as struct…