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Found 5 papers, 5 papers with code
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction
In this paper, we contribute a dataset and propose a paradigm to quantitatively evaluate the effect of attention and KG on bag-level relation extraction (RE).
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
In this paper, we contribute a dataset and propose a paradigm to quantitatively evaluate the effect of attention and KG on bag-level relation extraction (RE).
Low-Resource Name Tagging Learned with Weakly Labeled Data
Name tagging in low-resource languages or domains suffers from inadequate training data.
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
In this paper, we jointly learn the model of recommendation and knowledge graph completion.
Ranked #1 on
Knowledge Graph Completion
on MovieLens 1M
Few-Shot Charge Prediction with Discriminative Legal Attributes
Specifically, our model outperforms other baselines by more than 50{\%} in the few-shot scenario.
