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05/22/2023
Editing Large Language Models: Problems, Methods, and Opportunities
Recent advancements in deep learning have precipitated the emergence of ...
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10/19/2022
Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction
Information Extraction, which aims to extract structural relational trip...
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10/01/2022
PromptKG: A Prompt Learning Framework for Knowledge Graph Representation Learning and Application
Knowledge Graphs (KGs) often have two characteristics: heterogeneous gra...
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09/30/2022
Construction and Applications of Open Business Knowledge Graph
Business Knowledge Graph is important to many enterprises today, providi...
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05/07/2022
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Multimodal named entity recognition and relation extraction (MNER and MR...
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05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
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02/16/2022
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective
Knowledge Extraction (KE) which aims to extract structural information f...
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01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
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06/03/2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
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04/15/2021
AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction
In this paper, we reformulate the relation extraction task as mask langu...
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02/25/2021
