11 citations · 37 across the 11 of their papers we have counts for
6 papers · 1 filter
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
The joint entity and relation extraction task aims to extract all relational triples from a sentence. In essence, the relational triples contained in a sentence are unordered. Howe…
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
Xinyu Zuo, Yubo Chen, Kang Liu +1
Modern models of event causality detection (ECD) are mainly based on supervised learning from small hand-labeled corpora. However, hand-labeled training data is expensive to produc…
Towards Causal Explanation Detection with Pyramid Salient-Aware Network
Xinyu Zuo, Yubo Chen, Kang Liu +1
Causal explanation analysis (CEA) can assist us to understand the reasons behind daily events, which has been found very helpful for understanding the coherence of messages. In thi…
Distantly Supervised Relation Extraction in Federated Settings
Dianbo Sui, Yubo Chen, Kang Liu +1
This paper investigates distantly supervised relation extraction in federated settings. Previous studies focus on distant supervision under the assumption of centralized training,…
Knowledge Guided Metric Learning for Few-Shot Text Classification
Dianbo Sui, Yubo Chen, Binjie Mao +3
The training of deep-learning-based text classification models relies heavily on a huge amount of annotation data, which is difficult to obtain. When the labeled data is scarce, mo…
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han, Zhichun Wang, Jiangtao Zhang +22
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation…