SEE: Syntax-aware Entity Embedding for Neural Relation Extraction

SEE: Syntax-aware Entity Embedding for Neural Relation Extraction

11 January 2018

Min Zhang

Papers citing "SEE: Syntax-aware Entity Embedding for Neural Relation Extraction"

9 / 9 papers shown

Title
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction Bo Li Wei Ye Jinglei Zhang Shikun Zhang 45 14 0 29 Dec 2022
WebFormer: The Web-page Transformer for Structure Information Extraction Qifan Wang Yi Fang Anirudh Ravula Fuli Feng Xiaojun Quan Dongfang Liu ViT 149 65 0 01 Feb 2022
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings Despina Christou Grigorios Tsoumakas 35 39 0 01 Feb 2021
Contrastive Triple Extraction with Generative Transformer Hongbin Ye Ningyu Zhang Shumin Deng Mosha Chen Chuanqi Tan Fei Huang Huajun Chen 22 128 0 14 Sep 2020
Improving Distant Supervised Relation Extraction by Dynamic Neural Network Yanjie Gou Yinjie Lei Lingqiao Liu Pingping Zhang X. Peng AI4TS 32 1 0 15 Nov 2019
Relation Adversarial Network for Low Resource Knowledge Graph Completion Ningyu Zhang Shumin Deng Zhanlin Sun Jiaoayan Chen Wei Zhang Huajun Chen 24 71 0 08 Nov 2019
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data Wei Ye Bo Li Rui Xie Zhonghao Sheng Long Chen Shikun Zhang 27 37 0 21 Jun 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction Christoph Alt Marc Hübner Leonhard Hennig 15 119 0 19 Jun 2019
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth Rishabh Joshi Sai Suman Prayaga Chiranjib Bhattacharyya Partha P. Talukdar 27 229 0 11 Dec 2018