no code implementations • ACL 2021 • Wei Bi, Huayang Li, Jiacheng Huang
Data augmentation is an effective way to improve the performance of many neural text generation models.
no code implementations • Findings (ACL) 2022 • Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren
In this paper, we propose an implicit RL method called ImRL, which links relation phrases in NL to relation paths in KG.
1 code implementation • 21 Feb 2020 • Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu
Knowledge bases (KBs) store rich yet heterogeneous entities and facts.
1 code implementation • 5 Jun 2023 • Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu
We pre-train a large teacher KG embedding model over linked multi-source KGs and distill knowledge to train a student model for a task-specific KG.
1 code implementation • 10 Apr 2023 • Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu
With deep learning, it learns the embeddings of entities, relations and classes, and jointly aligns them in a semi-supervised manner.
1 code implementation • 5 Jun 2023 • Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu
In this paper, we provide a similarity flooding perspective to explain existing translation-based and aggregation-based EA models.
1 code implementation • 15 Feb 2020 • Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu
In this paper, we propose a full-fledged approach to knowledge enrichment, which predicts missing properties and infers true facts of long-tail entities from the open Web.
1 code implementation • 21 Jan 2022 • Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren
In this paper, we propose a new trustworthy method that exploits facts for a KG based on multi-sourced noisy data and existing facts in the KG.
1 code implementation • 9 Sep 2020 • Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu
However, existing work incorporated with KGs cannot capture the explicit long-range semantics between users and items meanwhile consider various connectivity between items.
1 code implementation • 22 Apr 2020 • Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu
We refer to such contextualized representations of a relation as edge embeddings and interpret them as translations between entity embeddings.