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03/24/2023
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
In-Context Learning (ICL), which formulates target tasks as prompt compl...
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10/18/2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...
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07/31/2022
Neural Knowledge Bank for Pretrained Transformers
The ability of pretrained Transformers to remember factual knowledge is ...
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04/15/2022
Mixture of Experts for Biomedical Question Answering
Biomedical Question Answering (BQA) has attracted increasing attention i...
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03/15/2022
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to d...
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10/14/2021
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination
Pre-trained language models (PLMs), such as BERT and GPT, have revolutio...
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05/18/2021
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Link prediction on knowledge graphs (KGs) is a key research topic. Previ...
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02/20/2021
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Entities, as the essential elements in relation extraction tasks, exhibi...
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11/06/2019
CoKE: Contextualized Knowledge Graph Embedding
Knowledge graph embedding, which projects symbolic entities and relation...
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06/10/2018
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Current evaluation metrics to question answering based machine reading c...
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05/16/2018
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
While sophisticated neural-based techniques have been developed in readi...
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05/06/2018
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Machine reading comprehension (MRC) on real web data usually requires th...
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11/14/2017
