7 citations · 12 across the 5 of their papers we have counts for
5 papers
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang, Yajing Xu, Peng Ye +5
Knowledge graph (KG) completion aims to find out missing triples in a KG. Some tasks, such as link prediction and instance completion, have been proposed for KG completion. They ar…
Learning to Rank Utterances for Query-Focused Meeting Summarization
Xingxian Liu, Yajing Xu
Query-focused meeting summarization(QFMS) aims to generate a specific summary for the given query according to the meeting transcripts. Due to the conflict between long meetings an…
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
Wen Zhang, Yushan Zhu, Mingyang Chen +5
Knowledge graphs (KG) are essential background knowledge providers in many tasks. When designing models for KG-related tasks, one of the key tasks is to devise the Knowledge Repres…
Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization
Xingxian Liu, Bin Duan, Bo Xiao +1
Query-focused meeting summarization (QFMS) aims to generate summaries from meeting transcripts in response to a given query. Previous works typically concatenate the query with mee…
Learning to Construct 3D Building Wireframes from 3D Line Clouds
Yicheng Luo, Jing Ren, Xuefei Zhe +4
Line clouds, though under-investigated in the previous work, potentially encode more compact structural information of buildings than point clouds extracted from multi-view images.…