自然语言处理徐蔚然老师研究组
自然语言处理徐蔚然老师研究组
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严渊蒙
硕士研究生
北京邮电大学
研究方向
自然语言理解
预训练
教育经历
人工智能学院工程硕士, 2019至今
北京邮电大学
软件学院工学学士, 2019
北京邮电大学
最新
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion:Re-explore Zero-Shot Learning for Slot Filling
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
ConSERT:A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Novel Slot Detection:A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection
Adversarial Self-Supervised Learning for Out-of-Domain Detection
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
Hierarchical Speaker-aware Sequence-to-sequence Model for Dialogue Summarization
From context-aware:to knowledge-aware Boosting OOV tokens recognition in slot tagging with background knowledge
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots
Learning Label-Relational Output Structure for Adaptive Sequence Labeling
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
一种基于结构化用户属性描述的个性化任务型对话系统
一种知识驱动的易配置任务导向型对话管理方法与系统
人工智能建设项目——运维知识子任务
在线教育场景下的智能客服系统
学员培训模拟用户对话系统
智能语音质检系统
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