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01/24/2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining
Semantic parsing plays a key role in digital voice assistants such as Al...
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12/01/2022
PIZZA: A new benchmark for complex end-to-end task-oriented parsing
Much recent work in task-oriented parsing has focused on finding a middl...
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06/15/2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
We present results from a large-scale experiment on pretraining encoders...
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06/10/2022
Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
Deep learning methods have enabled task-oriented semantic parsing of inc...
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05/04/2022
Compositional Task-Oriented Parsing as Abstractive Question Answering
Task-oriented parsing (TOP) aims to convert natural language into machin...
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04/29/2022
Training Naturalized Semantic Parsers with Very Little Data
Semantic parsing is an important NLP problem, particularly for voice ass...
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03/05/2022
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models
Semantic parsing is a key NLP task that maps natural language to structu...
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12/15/2020
Exploring Transfer Learning For End-to-End Spoken Language Understanding
Voice Assistants such as Alexa, Siri, and Google Assistant typically use...
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12/04/2020
Delexicalized Paraphrase Generation
We present a neural model for paraphrasing and train it to generate dele...
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07/25/2019
Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing
While sequence-to-sequence (seq2seq) models achieve state-of-the-art per...
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06/22/2019