2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
Chao Zhao, Daojian Zeng, Lu Xu +1
Document-level Relation Extraction (DRE) aims to recognize the relations between two entities. The entity may correspond to multiple mentions that span beyond sentence boundary. Fe…
cs.CL2020★ 1 cited
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan +5
Joint entity and relation extraction aims to extract relation triplets from plain text directly. Prior work leverages Sequence-to-Sequence (Seq2Seq) models for triplet sequence gen…
cs.CL2019
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
Daojian Zeng, Ranran Haoran Zhang, Qianying Liu
Joint extraction of entities and relations has received significant attention due to its potential of providing higher performance for both tasks. Among existing methods, CopyRE is…