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GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
TLDR
We propose a global context enhanced deep transition architecture for sequence labeling named GCDT. Expand
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CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
TLDR
We propose a novel Collaborative Memory Network (CM-Net) based on the well-designed block, named CM-block, which captures slot-specific and intent-specific features from memories in a collaborative manner. Expand
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Nonpure Petri Net Supervisors for Optimal Deadlock Control of Flexible Manufacturing Systems
TLDR
This paper presents a mathematical method to design a maximally permissive Petri net supervisor that is expressed by a set of control places with self-loops. Expand
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A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
TLDR
In this paper, we propose a novel Aspect-Guided Deep Transition model, named AGDT, which utilizes the given aspect to guide the sentence encoding from scratch with the specially-designed deep transition architecture. Expand
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Compact Supervisory Control of Discrete Event Systems by Petri Nets With Data Inhibitor Arcs
TLDR
We propose a novel structure in Petri nets, namely data inhibitor arcs. Expand
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Deep Learning for Intelligent Substation Device Infrared Fault Image Analysis
As an important kind of data for device status evaluation, the increasing infrared image data in electrical system puts forward a new challenge to traditional manually processing mode. To overcomeExpand
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An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis
TLDR
We propose a novel Iterative Knowledge Transfer Network (IKTN) for the end-to-end ABSA task, which significantly outperforms state-of-the-art methods. Expand
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A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
TLDR
In this paper, we propose a novel dependency syntactic knowledge augmented interactive architecture with multi-task learning for end-to-end ABSA. Expand
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An Efficient Deadlock Recovery Policy for Flexible Manufacturing Systems Modeled With Petri Nets
TLDR
This paper focuses on solving deadlock problems in flexible manufacturing systems modeled with Petri nets by adding a set of recovery transitions to recover all the deadlock markings to be legal ones. Expand
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Predictability Analysis of Lithium-Ion Battery Remaining Useful Life with Multiscale Entropy
TLDR
Multiscale entropy can be used to analyze the predictability of lithium-ion battery RUL. Expand
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