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06/03/2023
Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN
Recently, it is quite common to integrate Chinese sequence labeling resu...
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05/06/2023
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting
Semantic segmentation in rainy scenes is a challenging task due to the c...
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03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
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10/13/2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
Recently, Sharpness-Aware Minimization (SAM) algorithm has shown state-o...
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10/13/2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
Despite the potential of federated learning, it is known to be vulnerabl...
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09/07/2022
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory
The evolution of language follows the rule of gradual change. Grammar, v...
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01/22/2022
Chinese Word Segmentation with Heterogeneous Graph Neural Network
In recent years, deep learning has achieved significant success in the C...
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09/07/2021
Adversarial Parameter Defense by Multi-Step Risk Minimization
Previous studies demonstrate DNNs' vulnerability to adversarial examples...
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09/01/2021
CorbFuzz: Checking Browser Security Policies with Fuzzing
Browsers use security policies to block malicious behaviors. Cross-Origi...
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05/28/2021
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge
Knowledge facts are typically represented by relational triples, while w...
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04/14/2020
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
Target-Based Sentiment Analysis aims to detect the opinion aspects (aspe...
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12/25/2019
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Self-attention based Transformer has demonstrated the state-of-the-art p...
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11/10/2019
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks
Semi-supervised learning is a widely used training framework for graph n...
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10/11/2019
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
Incorporating related text information has proven successful in stock ma...
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09/10/2018
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification
Multi-label text classification (MLTC) aims to assign multiple labels to...
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08/26/2018
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
We propose a novel model for multi-label text classification, which is b...
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08/22/2018
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation
Most of the Neural Machine Translation (NMT) models are based on the seq...
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06/10/2018
Deconvolution-Based Global Decoding for Neural Machine Translation
A great proportion of sequence-to-sequence (Seq2Seq) models for Neural M...
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05/10/2018
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency
Abstractive text summarization is a highly difficult problem, and the se...
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05/10/2018
Global Encoding for Abstractive Summarization
In neural abstractive summarization, the conventional sequence-to-sequen...
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03/15/2018
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
Relation classification is an important semantic processing task in the ...
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02/06/2018
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation
Attention-based sequence-to-sequence model has proved successful in Neur...
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11/19/2017
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
Named Entity Recognition and Relation Extraction for Chinese literature ...
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06/08/2017