158 citations · 174 across the 4 of their papers we have counts for
5 papers
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
Yuval Pinter, Amanda Stent, Mark Dredze +1
Commonly-used transformer language models depend on a tokenization schema which sets an unchangeable subword vocabulary prior to pre-training, destined to be applied to all downstr…
LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar +2
In this work, we explore a new problem of frame interpolation for speech videos. Such content today forms the major form of online communication. We try to solve this problem by us…
Best Practices for Managing Data Annotation Projects
Tina Tseng, Amanda Stent, Domenic Maida
Annotation is the labeling of data by human effort. Annotation is critical to modern machine learning, and Bloomberg has developed years of experience of annotation at scale. This…
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari +5
Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. Recent machine learning based approaches model VS…
Individual and Domain Adaptation in Sentence Planning for Dialogue
F. Mairesse, R. Prasad, A. Stent +1
One of the biggest challenges in the development and deployment of spoken dialogue systems is the design of the spoken language generation module. This challenge arises from the ne…