204 citations · 714 across the 66 of their papers we have counts for
8 papers · 2 filters
A Dataset for Document Grounded Conversations
Kangyan Zhou, Shrimai Prabhumoye, Alan W Black
This paper introduces a document grounded dataset for text conversations. We define "Document Grounded Conversations" as conversations that are about the contents of a specified do…
Style Transfer Through Multilingual and Feedback-Based Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov, Alan W Black +1
Style transfer is the task of transferring an attribute of a sentence (e.g., formality) while maintaining its semantic content. The key challenge in style transfer is to strike a b…
Data Augmentation for Neural Online Chat Response Selection
Wenchao Du, Alan W Black
Data augmentation seeks to manipulate the available data for training to improve the generalization ability of models. We investigate two data augmentation proxies, permutation and…
Generating Mandarin and Cantonese F0 Contours with Decision Trees and BLSTMs
Weidong Yuan, Alan W Black
This paper models the fundamental frequency contours on both Mandarin and Cantonese speech with decision trees and DNNs (deep neural networks). Different kinds of f0 representation…
Domain Robust Feature Extraction for Rapid Low Resource ASR Development
Siddharth Dalmia, Xinjian Li, Florian Metze +1
Developing a practical speech recognizer for a low resource language is challenging, not only because of the (potentially unknown) properties of the language, but also because test…
Style Transfer Through Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov +1
Style transfer is the task of rephrasing the text to contain specific stylistic properties without changing the intent or affect within the context. This paper introduces a new met…