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LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Chinese short text matching is a fundamental task in natural language pr...
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WebSRC: A Dataset for Web-Based Structural Reading Comprehension
Web search is an essential way for human to obtain information, but it's...
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Comparison and Improvement for Delay Analysis Approaches: Theoretical Models and Experimental Tests
Computer network tends to be subjected to the proliferation of mobile de...
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Searching Personalized k-wing in Large and Dynamic Bipartite Graphs
There are extensive studies focusing on the application scenario that al...
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FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
Deep neural networks (DNNs) significantly improved the accuracy of optic...
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Improving Redundancy Availability: Dynamic Subtasks Modulation for Robots with Redundancy Insufficiency
This work presents an approach for robots to suitably carry out complex ...
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An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
Recently, pre-trained language models like BERT have shown promising per...
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SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
We consider a setting with an evolving set of requests for transportatio...
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CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
In dialogue systems, a dialogue state tracker aims to accurately find a ...
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Dual Learning for Dialogue State Tracking
In task-oriented multi-turn dialogue systems, dialogue state refers to a...
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Efficiently Finding a Maximal Clique Summary via Effective Sampling
Maximal clique enumeration (MCE) is a fundamental problem in graph theor...
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Structured Hierarchical Dialogue Policy with Graph Neural Networks
Dialogue policy training for composite tasks, such as restaurant reserva...
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Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
The task-oriented spoken dialogue system (SDS) aims to assist a human us...
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Deep Reinforcement Learning for On-line Dialogue State Tracking
Dialogue state tracking (DST) is a crucial module in dialogue management...
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Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
Few-shot slot tagging becomes appealing for rapid domain transfer and ad...
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Robust Spoken Language Understanding with RL-based Value Error Recovery
Spoken Language Understanding (SLU) aims to extract structured semantic ...
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Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs
Given a bipartite graph, the maximum balanced biclique (MBB) problem, di...
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Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
One daunting problem for semantic parsing is the scarcity of annotation....
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Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding
Spoken Language Understanding (SLU) converts hypotheses from automatic s...
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Indexing Metric Spaces for Exact Similarity Search
With the continued digitalization of societal processes, we are seeing a...
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Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Text simplification (TS) rephrases long sentences into simplified varian...
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CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
Sentiment classification is a fundamental task in content analysis. Alth...
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Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Dialogue state tracking (DST) aims at estimating the current dialogue st...
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Index-based Solutions for Efficient Density Peaks Clustering
Density Peaks Clustering (DPC), a novel density-based clustering approac...
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Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks
Optical character recognition (OCR) is widely applied in real applicatio...
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Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands
Geo-social group search aims to find a group of people proximate to a lo...
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AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning
Dialogue policy plays an important role in task-oriented spoken dialogue...
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Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
Origin-destination (OD) matrices are often used in urban planning, where...
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DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction
Modern neural network models have achieved the state-of-the-art performa...
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Towards Universal Dialogue State Tracking
Dialogue state tracking is the core part of a spoken dialogue system. It...
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Bayesian Logistic Regression for Small Areas with Numerous Households
We analyze binary data, available for a relatively large number (big dat...
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Bayesian Predictive Inference For Finite Population Quantities Under Informative Sampling
We investigate Bayesian predictive inference for finite population quant...
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High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes
A fundamental challenge in wireless multicast has been how to simultaneo...
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