Event Detection with Dual Relational Graph Attention Networks

1 code implementation • COLING 2022 • Jiaxin Mi, Po Hu, Peng Li

To this end, we propose a simple yet effective model named DualGAT (Dual Relational Graph Attention Networks), which exploits the complementary nature of syntactic and semantic relations to alleviate the problem.

Event Detection Graph Attention

Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks

no code implementations • 20 Nov 2021 • Hanning Gao, Lingfei Wu, Hongyun Zhang, Zhihua Wei, Po Hu, Fangli Xu, Bo Long

Most previous methods solve this task using a sequence-to-sequence model or using a graph-based model to encode RDF triples and to generate a text sequence.

reinforcement-learning Reinforcement Learning (RL) +1

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph

no code implementations • 20 Nov 2021 • Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long

Finally, we apply an answer selection model on the full KSG and the top-ranked sub-KSGs respectively to validate the effectiveness of our proposed graph-augmented learning to rank method.

Answer Selection Graph Question Answering +3

Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering

no code implementations • IJCNLP 2015 • Guangyou Zhou, Tingting He, Jun Zhao, Po Hu

Community Question Answering Retrieval +1

Context-Enhanced Personalized Social Summarization

no code implementations • COLING 2012 • Po Hu, Donghong Ji, Chong Teng, Yujing Guo