69 citations · 103 across the 9 of their papers we have counts for
9 papers
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
Xiaobin Zhang, Liangjun Zang, Qianwen Liu +2
Event temporal relation (TempRel) is a primary subject of the event relation extraction task. However, the inherent ambiguity of TempRel increases the difficulty of the task. With…
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu, Chaochen Gao, Meng Lin +3
Before entering the neural network, a token is generally converted to the corresponding one-hot representation, which is a discrete distribution of the vocabulary. Smoothed represe…
DistilCSE: Effective Knowledge Distillation For Contrastive Sentence Embeddings
Chaochen Gao, Xing Wu, Peng Wang +4
Large-scale contrastive learning models can learn very informative sentence embeddings, but are hard to serve online due to the huge model size. Therefore, they often play the role…
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Xing Wu, Chaochen Gao, Liangjun Zang +3
Contrastive learning has been attracting much attention for learning unsupervised sentence embeddings. The current state-of-the-art unsupervised method is the unsupervised SimCSE (…
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
Dongjun Wei, Yaxin Liu, Fuqing Zhu +4
Withthegrowthofknowledgegraphs, entity descriptions are becoming extremely lengthy. Entity summarization task, aiming to generate diverse, comprehensive, and representative summari…
Data Augmentation for Copy-Mechanism in Dialogue State Tracking
Xiaohui Song, Liangjun Zang, Yipeng Su +3
While several state-of-the-art approaches to dialogue state tracking (DST) have shown promising performances on several benchmarks, there is still a significant performance gap bet…