Kehui Song
12 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
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Keywords
multimodal learning
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contrastive learning
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entity typing
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knowledge base
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named entity recognition
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variational autoencoder
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temporal knowledge graph
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zero-shot entity linking
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multi-task learning
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temporal reasoning
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semi-supervised learning
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entity linking
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question answering
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attention mechanism
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object detection
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link prediction
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prompt-based learning
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unsupervised clustering
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low-resource learning
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masked language model
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Papers
Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples
NAACL 2025
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space
ACL 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting
COLING 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction
COLING 2024
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
ACL 2024
TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
EMNLP 2024
BioFEG: Generate Latent Features for Biomedical Entity Linking
EMNLP 2023
Selecting Key Views for Zero-Shot Entity Linking
EMNLP 2023
Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing
EMNLP 2023
PM2F2N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction
EMNLP 2022
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information
COLING 2022
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition
EMNLP 2022