Search Results for author: David Gaddy

Found 7 papers, 5 papers with code

An Improved Model for Voicing Silent Speech

1 code implementation ACL 2021 David Gaddy, Dan Klein

In this paper, we present an improved model for voicing silent speech, where audio is synthesized from facial electromyography (EMG) signals.

Electromyography (EMG)

Overcoming Conflicting Data when Updating a Neural Semantic Parser

1 code implementation EMNLP (NLP4ConvAI) 2021 David Gaddy, Alex Kouzemtchenko, Pavankumar Reddy Muddireddy, Prateek Kolhar, Rushin Shah

In this paper, we explore how to use a small amount of new data to update a task-oriented semantic parsing model when the desired output for some examples has changed.

Semantic Parsing

Digital Voicing of Silent Speech

1 code implementation EMNLP 2020 David Gaddy, Dan Klein

In this paper, we consider the task of digitally voicing silent speech, where silently mouthed words are converted to audible speech based on electromyography (EMG) sensor measurements that capture muscle impulses.

Electromyography (EMG) Speech Synthesis

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following

1 code implementation ACL 2019 David Gaddy, Dan Klein

We consider the problem of learning to map from natural language instructions to state transitions (actions) in a data-efficient manner.

What's Going On in Neural Constituency Parsers? An Analysis

1 code implementation NAACL 2018 David Gaddy, Mitchell Stern, Dan Klein

A number of differences have emerged between modern and classic approaches to constituency parsing in recent years, with structural components like grammars and feature-rich lexicons becoming less central while recurrent neural network representations rise in popularity.

Constituency Parsing

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