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01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
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10/11/2021
Unsupervised Neural Machine Translation with Generative Language Models Only
We show how to derive state-of-the-art unsupervised neural machine trans...
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10/09/2020
On Task-Level Dialogue Composition of Generative Transformer Model
Task-oriented dialogue systems help users accomplish tasks such as booki...
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05/28/2020
Language Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and ben...
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04/22/2020
Trading Off Diversity and Quality in Natural Language Generation
For open-ended language generation tasks such as storytelling and dialog...
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10/31/2019
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning
Task-oriented dialog presents a difficult challenge encompassing multipl...
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09/01/2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
A significant barrier to progress in data-driven approaches to building ...
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06/11/2019
Parallel Scheduled Sampling
Auto-regressive models are widely used in sequence generation problems. ...
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05/28/2018
Theory and Experiments on Vector Quantized Autoencoders
Deep neural networks with discrete latent variables offer the promise of...
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06/22/2017
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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11/28/2016
Learning a Natural Language Interface with Neural Programmer
Learning a natural language interface for database tables is a challengi...
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07/05/2016
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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06/18/2016
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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11/21/2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Deep feedforward and recurrent networks have achieved impressive results...
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11/16/2015
Neural Programmer: Inducing Latent Programs with Gradient Descent
Deep neural networks have achieved impressive supervised classification ...
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04/24/2015
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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04/24/2015
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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04/24/2015
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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04/24/2015
