Mike Lewis

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Facebook ∙ University of Pittsburgh

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

We present BART, a denoising autoencoder for pretraining sequence-to-seq...
10/29/2019 ∙ by Mike Lewis, et al. ∙ 35 ∙ share

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Hierarchical Decision Making by Generating and Following Natural Language Instructions

We explore using latent natural language instructions as an expressive a...
06/03/2019 ∙ by Hengyuan Hu, et al. ∙ 4 ∙ share

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Improving Semantic Parsing for Task Oriented Dialog

Semantic parsing using hierarchical representations has recently been pr...
02/15/2019 ∙ by Arash Einolghozati, et al. ∙ 2 ∙ share

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End-to-end Neural Coreference Resolution

We introduce the first end-to-end coreference resolution model and show ...
07/21/2017 ∙ by Kenton Lee, et al. ∙ 0 ∙ share

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Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Much of human dialogue occurs in semi-cooperative settings, where agents...
06/16/2017 ∙ by Mike Lewis, et al. ∙ 0 ∙ share

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Global Neural CCG Parsing with Optimality Guarantees

We introduce the first global recursive neural parsing model with optima...
07/05/2016 ∙ by Kenton Lee, et al. ∙ 0 ∙ share

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Hierarchical Text Generation and Planning for Strategic Dialogue

End-to-end models for strategic dialogue are challenging to train, becau...
12/15/2017 ∙ by Denis Yarats, et al. ∙ 0 ∙ share

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Hierarchical Neural Story Generation

We explore story generation: creative systems that can build coherent an...
05/13/2018 ∙ by Angela Fan, et al. ∙ 0 ∙ share

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Neural Compositional Denotational Semantics for Question Answering

Answering compositional questions requiring multi-step reasoning is chal...
08/29/2018 ∙ by Nitish Gupta, et al. ∙ 0 ∙ share

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Semantic Parsing for Task Oriented Dialog using Hierarchical Representations

Task oriented dialog systems typically first parse user utterances to se...
10/18/2018 ∙ by Sonal Gupta, et al. ∙ 0 ∙ share

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Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog

One of the first steps in the utterance interpretation pipeline of many ...
10/31/2018 ∙ by Sebastian Schuster, et al. ∙ 0 ∙ share

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Community Regularization of Visually-Grounded Dialog

The task of conducting visually grounded dialog involves learning goal-o...
08/10/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Strategies for Structuring Story Generation

Writers generally rely on plans or sketches to write long stories, but m...
02/04/2019 ∙ by Angela Fan, et al. ∙ 0 ∙ share

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RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language model pretraining has led to significant performance gains but ...
07/26/2019 ∙ by Yinhan Liu, et al. ∙ 0 ∙ share

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MelNet: A Generative Model for Audio in the Frequency Domain

Capturing high-level structure in audio waveforms is challenging because...
06/04/2019 ∙ by Sean Vasquez, et al. ∙ 0 ∙ share

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Generalization through Memorization: Nearest Neighbor Language Models

We introduce kNN-LMs, which extend a pre-trained neural language model (...
11/01/2019 ∙ by Urvashi Khandelwal, et al. ∙ 0 ∙ share

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Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models

Inspired by modular software design principles of independence, intercha...
11/09/2019 ∙ by Siddharth Dalmia, et al. ∙ 0 ∙ share

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Multilingual Denoising Pre-training for Neural Machine Translation

This paper demonstrates that multilingual denoising pre-training produce...
01/22/2020 ∙ by Yinhan Liu, et al. ∙ 0 ∙ share

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Mike Lewis

Featured Co-authors

Dhruv Batra

Devi Parikh

Luke Zettlemoyer

Florian Metze

Dan Jurafsky

Omer Levy

Yuandong Tian

Jiatao Gu

Katia Sycara

Kenton Lee

Myle Ott

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Hierarchical Decision Making by Generating and Following Natural Language Instructions

Improving Semantic Parsing for Task Oriented Dialog

End-to-end Neural Coreference Resolution

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Global Neural CCG Parsing with Optimality Guarantees

Hierarchical Text Generation and Planning for Strategic Dialogue

Hierarchical Neural Story Generation

Neural Compositional Denotational Semantics for Question Answering

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog

Community Regularization of Visually-Grounded Dialog

Strategies for Structuring Story Generation

RoBERTa: A Robustly Optimized BERT Pretraining Approach

MelNet: A Generative Model for Audio in the Frequency Domain

Generalization through Memorization: Nearest Neighbor Language Models

Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models

Multilingual Denoising Pre-training for Neural Machine Translation