Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning

no code implementations • 11 Jul 2022 • Hongjian Fang, Yi Zeng, Jianbo Tang, Yuwei Wang, Yao Liang, Xin Liu

For the fields of neuroscience and cognitive science, the work in this paper provided the foundation of computational modeling for further exploration of the way the human brain represents commonsense knowledge.

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

1 code implementation • Findings (ACL) 2021 • Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang

Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performance gains on a diverse range of Natural Language Understanding (NLU) tasks.

Language Modelling Natural Language Understanding

Step-wise Refinement Classification Approach for Enterprise Legal Litigation

no code implementations • WS 2019 • Ying Mao, Xian Wang, Jianbo Tang, Changliang Li

Classification General Classification