12 citations · 39 across the 19 of their papers we have counts for
6 papers · 1 filter
Generative Entity Typing with Curriculum Learning
Siyu Yuan, Deqing Yang, Jiaqing Liang +4
Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to…
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Chengwei Hu, Deqing Yang, Haoliang Jin +2
Continual relation extraction (CRE) aims to extract relations towards the continuous and iterative arrival of new data, of which the major challenge is the catastrophic forgetting…
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
Siyu Yuan, Deqing Yang, Jiaqing Liang +5
The concepts in knowledge graphs (KGs) enable machines to understand natural language, and thus play an indispensable role in many applications. However, existing KGs have the poor…
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation
Jingjie Yi, Deqing Yang, Siyu Yuan +3
Emotion recognition in conversation (ERC) aims to detect the emotion for each utterance in a given conversation. The newly proposed ERC models have leveraged pre-trained language m…
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
Jiaxin Yu, Deqing Yang, Shuyu Tian
Compared with traditional sentence-level relation extraction, document-level relation extraction is a more challenging task where an entity in a document may be mentioned multiple…
Improving Information Cascade Modeling by Social Topology and Dual Role User Dependency
Baichuan Liu, Deqing Yang, Yueyi Wang +1
In the last decade, information diffusion (also known as information cascade) on social networks has been massively investigated due to its application values in many fields. In re…