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From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
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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 ...
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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...
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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 ...
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Evading the Adversary in Invariant Representation
Representations of data that are invariant to changes in specified nuisa...
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Dialogue Modeling Via Hash Functions: Applications to Psychotherapy
We propose a novel machine-learning framework for dialogue modeling whic...
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Auto-Encoding Total Correlation Explanation
Advances in unsupervised learning enable reconstruction and generation o...
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Efficient Representation for Natural Language Processing via Kernelized Hashcodes
Kernel similarity functions have been successfully applied in classifica...
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Variational Information Maximization for Feature Selection
Feature selection is one of the most fundamental problems in machine lea...
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Sifting Common Information from Many Variables
Measuring the relationship between any pair of variables is a rich and a...
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The DARPA Twitter Bot Challenge
A number of organizations ranging from terrorist groups such as ISIS to ...
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Understanding confounding effects in linguistic coordination: an information-theoretic approach
We suggest an information-theoretic approach for measuring stylistic coo...
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Efficient Estimation of Mutual Information for Strongly Dependent Variables
We demonstrate that a popular class of nonparametric mutual information ...
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