Shuyang Gao

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USC Information Sciences Institute ∙ Amazon ∙ University of Southern California

From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
04/13/2020 ∙ by Shuyang Gao, et al. ∙ 16 ∙ share

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Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents

Data availability is a bottleneck during early stages of development of ...
10/04/2019 ∙ by Nikolaos Malandrakis, et al. ∙ 0 ∙ share

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MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

Machine Reading Comprehension (MRC) for question answering (QA), which a...
10/01/2019 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Dialog State Tracking: A Neural Reading Comprehension Approach

Dialog state tracking is used to estimate the current belief state of a ...
08/06/2019 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Evading the Adversary in Invariant Representation

Representations of data that are invariant to changes in specified nuisa...
05/24/2018 ∙ by Daniel Moyer, et al. ∙ 0 ∙ share

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Dialogue Modeling Via Hash Functions: Applications to Psychotherapy

We propose a novel machine-learning framework for dialogue modeling whic...
04/26/2018 ∙ by Sahil Garg, et al. ∙ 0 ∙ share

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Auto-Encoding Total Correlation Explanation

Advances in unsupervised learning enable reconstruction and generation o...
02/16/2018 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Efficient Representation for Natural Language Processing via Kernelized Hashcodes

Kernel similarity functions have been successfully applied in classifica...
11/10/2017 ∙ by Sahil Garg, et al. ∙ 0 ∙ share

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Variational Information Maximization for Feature Selection

Feature selection is one of the most fundamental problems in machine lea...
06/09/2016 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Sifting Common Information from Many Variables

Measuring the relationship between any pair of variables is a rich and a...
06/07/2016 ∙ by Greg Ver Steeg, et al. ∙ 0 ∙ share

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The DARPA Twitter Bot Challenge

A number of organizations ranging from terrorist groups such as ISIS to ...
01/20/2016 ∙ by V. S. Subrahmanian, et al. ∙ 0 ∙ share

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Understanding confounding effects in linguistic coordination: an information-theoretic approach

We suggest an information-theoretic approach for measuring stylistic coo...
12/01/2014 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Efficient Estimation of Mutual Information for Strongly Dependent Variables

We demonstrate that a popular class of nonparametric mutual information ...
11/07/2014 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Shuyang Gao

Featured Co-authors

Yan Liu

Aram Galstyan

Kristina Lerman

Emilio Ferrara

Dilek Hakkani-Tur

Greg Ver Steeg

Di Jin

Irina Rish

Qiaozhu Mei

Sahil Garg

Filippo Menczer

From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents

MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

Dialog State Tracking: A Neural Reading Comprehension Approach

Evading the Adversary in Invariant Representation

Dialogue Modeling Via Hash Functions: Applications to Psychotherapy

Auto-Encoding Total Correlation Explanation

Efficient Representation for Natural Language Processing via Kernelized Hashcodes

Variational Information Maximization for Feature Selection

Sifting Common Information from Many Variables

The DARPA Twitter Bot Challenge

Understanding confounding effects in linguistic coordination: an information-theoretic approach

Efficient Estimation of Mutual Information for Strongly Dependent Variables