1 citations · 1 across the 3 of their papers we have counts for
6 papers
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning
Orion Weller, Kevin Seppi, Matt Gardner
Transfer learning (TL) in natural language processing (NLP) has seen a surge of interest in recent years, as pre-trained models have shown an impressive ability to transfer to nove…
End-to-End Speech Translation for Code Switched Speech
Orion Weller, Matthias Sperber, Telmo Pires +4
Code switching (CS) refers to the phenomenon of interchangeably using words and phrases from different languages. CS can pose significant accuracy challenges to NLP, due to the oft…
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
Wilson Fearn, Orion Weller, Kevin Seppi
Text classification is a significant branch of natural language processing, and has many applications including document classification and sentiment analysis. Unsurprisingly, thos…
Streaming Models for Joint Speech Recognition and Translation
Orion Weller, Matthias Sperber, Christian Gollan +1
Using end-to-end models for speech translation (ST) has increasingly been the focus of the ST community. These models condense the previously cascaded systems by directly convertin…
Learning from Task Descriptions
Orion Weller, Nicholas Lourie, Matt Gardner +1
Typically, machine learning systems solve new tasks by training on thousands of examples. In contrast, humans can solve new tasks by reading some instructions, with perhaps an exam…
Humor Detection: A Transformer Gets the Last Laugh
Orion Weller, Kevin Seppi
Much previous work has been done in attempting to identify humor in text. In this paper we extend that capability by proposing a new task: assessing whether or not a joke is humoro…