3 citations · 3 across the 5 of their papers we have counts for
6 papers
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
Feiliang Ren, Longhui Zhang, Shujuan Yin +4
Table filling based relational triple extraction methods are attracting growing research interests due to their promising performance and their abilities on extracting triples from…
A Conditional Cascade Model for Relational Triple Extraction
Feiliang Ren, Longhui Zhang, Shujuan Yin +3
Tagging based methods are one of the mainstream methods in relational triple extraction. However, most of them suffer from the class imbalance issue greatly. Here we propose a nove…
An Effective System for Multi-format Information Extraction
Yaduo Liu, Longhui Zhang, Shujuan Yin +2
The multi-format information extraction task in the 2021 Language and Intelligence Challenge is designed to comprehensively evaluate information extraction from different dimension…
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model
Shilei Liu, Yu Guo, Bochao Li +1
This paper describes our submission to subtask a and b of SemEval-2020 Task 4. For subtask a, we use a ALBERT based model with improved input form to pick out the common sense stat…
Domain Representation for Knowledge Graph Embedding
Cunxiang Wang, Feiliang Ren, Zhichao Lin +3
Embedding entities and relations into a continuous multi-dimensional vector space have become the dominant method for knowledge graph embedding in representation learning. However,…
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
Feiliang Ren, Yining Hou, Yan Li +8
Knowledge graph is a kind of valuable knowledge base which would benefit lots of AI-related applications. Up to now, lots of large-scale knowledge graphs have been built. However,…