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On Task-Level Dialogue Composition of Generative Transformer Model
Task-oriented dialogue systems help users accomplish tasks such as booki...
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Language Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and ben...
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Trading Off Diversity and Quality in Natural Language Generation
For open-ended language generation tasks such as storytelling and dialog...
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Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning
Task-oriented dialog presents a difficult challenge encompassing multipl...
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Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
A significant barrier to progress in data-driven approaches to building ...
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Parallel Scheduled Sampling
Auto-regressive models are widely used in sequence generation problems. ...
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Theory and Experiments on Vector Quantized Autoencoders
Deep neural networks with discrete latent variables offer the promise of...
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RelNet: End-to-End Modeling of Entities & Relations
We introduce RelNet: a new model for relational reasoning. RelNet is a m...
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Learning a Natural Language Interface with Neural Programmer
Learning a natural language interface for database tables is a challengi...
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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Our goal is to combine the rich multistep inference of symbolic logical ...
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Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
Universal schema predicts the types of entities and relations in a knowl...
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Adding Gradient Noise Improves Learning for Very Deep Networks
Deep feedforward and recurrent networks have achieved impressive results...
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Neural Programmer: Inducing Latent Programs with Gradient Descent
Deep neural networks have achieved impressive supervised classification ...
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Compositional Vector Space Models for Knowledge Base Completion
Knowledge base (KB) completion adds new facts to a KB by making inferenc...
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Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods
Most of previous work in knowledge base (KB) completion has focused on t...
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Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
There is rising interest in vector-space word embeddings and their use i...
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Learning Dictionaries for Named Entity Recognition using Minimal Supervision
This paper describes an approach for automatic construction of dictionar...
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