53 citations · 162 across the 18 of their papers we have counts for
5 papers · 2 filters
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
Bo Li, Wei Ye, Jinglei Zhang +1
The typical way for relation extraction is fine-tuning large pre-trained language models on task-specific datasets, then selecting the label with the highest probability of the out…
Sequence Generation with Label Augmentation for Relation Extraction
Bo Li, Dingyao Yu, Wei Ye +2
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates th…
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts
Xiangyu Xi, Jianwei Lv, Shuaipeng Liu +3
Event detection (ED) identifies and classifies event triggers from unstructured texts, serving as a fundamental task for information extraction. Despite the remarkable progress ach…
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs
Zile Qiao, Wei Ye, Tong Zhang +3
Answering natural language questions on knowledge graphs (KGQA) remains a great challenge in terms of understanding complex questions via multi-hop reasoning. Previous efforts usua…
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Xiangyu Xi, Chenxu Lv, Yuncheng Hua +5
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e.g., intents and slots); (ii) poor c…