Language Models As or For Knowledge Bases
https://arxiv.org/pdf/2110.04888.pdf LM 不应该是 KB 的替代，而应该 …
论文速记
Understanding Pooling in Graph Neural Networks
https://arxiv.org/pdf/2110.05292.pdf graph pooling 的综述， …
GNN-LM: Language Modeling based on Global Contexts via GNN
GNN-LM: Language Modeling based on Global Contexts via …
GNN-LM: Language Modeling based on Global Contexts via GNN 查看全文 »
Template-free Prompt Tuning for Few-shot NER
https://arxiv.org/pdf/2109.13532.pdf 本文提出一个跟 prompt 其实没 …
Generated Knowledge Prompting for Commonsense Reasoning
https://arxiv.org/abs/2110.08387 prompt + common sense …
Generated Knowledge Prompting for Commonsense Reasoning 查看全文 »
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction
https://arxiv.org/abs/2110.07415 DSRE DSRE 都被认为是 multi- …
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction 查看全文 »
RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction
https://www.hindawi.com/journals/cin/2021/3447473/ Join …
RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction 查看全文 »
Asymmetric Graph Representation Learning
https://arxiv.org/abs/2110.07436 有向图的 GNN 背景：无论是谱域还是空间域 …
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
https://arxiv.org/abs/2110.04525# 第一个用 prompt 做事件抽取 方法非 …
Stop just recalling memorized relations: Extracting Unseen Relational Triples from the context
ICLR 2022 submission https://openreview.net/forum?id=YH …