3 papers
cs.CL2022
Generative Prompt Tuning for Relation Classification
Jiale Han, Shuai Zhao, Bo Cheng +2
Using prompts to explore the knowledge contained within pre-trained language models for downstream tasks has now become an active topic. Current prompt tuning methods mostly conver…
cs.CL2021
Exploring Task Difficulty for Few-Shot Relation Extraction
Jiale Han, Bo Cheng, Wei Lu
Few-shot relation extraction (FSRE) focuses on recognizing novel relations by learning with merely a handful of annotated instances. Meta-learning has been widely adopted for such…
cs.CL2021
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
Xu Wang, Shuai Zhao, Bo Cheng +5
Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities. Although effective, most o…