Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

4 September 2019

Papers citing "Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity"

7 / 7 papers shown

Title
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Qiuyu Zhu Liang Zhang Qianxiong Xu Cheng Long 431 2 0 22 Jan 2025
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion Yanzhen Shen Yu Zhang Yunyi Zhang Jiawei Han 110 10 0 20 Feb 2024
TeKo: Text-Rich Graph Neural Networks with External Knowledge Zhizhi Yu Di Jin Jianguo Wei Ziyang Liu Yue Shang Yun Xiao Jiawei Han Lingfei Wu 59 5 0 15 Jun 2022
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion Yiqing Xie Jiaming Shen Sha Li Yuning Mao Jiawei Han 82 69 0 16 Jun 2021
MATCH: Metadata-Aware Text Classification in A Large Hierarchy Yu Zhang Zhihong Shen Yuxiao Dong Kuansan Wang Jiawei Han 70 36 0 15 Feb 2021
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths Yue Yu Yinghao Li Jiaming Shen Haoyang Feng Jimeng Sun Chao Zhang 84 64 0 18 Jun 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network Jiaming Shen Zhihong Shen Chenyan Xiong Chi Wang Kuansan Wang Jiawei Han 81 78 0 26 Jan 2020