81 citations · 497 across the 67 of their papers we have counts for
16 papers · 1 filter
Named Entity and Relation Extraction with Multi-Modal Retrieval
Xinyu Wang, Jiong Cai, Yong Jiang +3
Multi-modal named entity recognition (NER) and relation extraction (RE) aim to leverage relevant image information to improve the performance of NER and RE. Most existing efforts l…
Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation
Xin Li, Xuli Tang, Wei Lu
Keeping track of translational research is essential to evaluating the performance of programs on translational medicine. Despite several indicators in previous studies, a consensu…
Intelligence Processing Units Accelerate Neuromorphic Learning
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani +4
Spiking neural networks (SNNs) have achieved orders of magnitude improvement in terms of energy consumption and latency when performing inference with deep learning workloads. Erro…
Unsupervised Galaxy Morphological Visual Representation with Deep Contrastive Learning
Shoulin Wei, Yadi Li, Wei Lu +4
Galaxy morphology reflects structural properties which contribute to understand the formation and evolution of galaxies. Deep convolutional networks have proven to be very successf…
Differentiable Data Augmentation for Contrastive Sentence Representation Learning
Tianduo Wang, Wei Lu
Fine-tuning a pre-trained language model via the contrastive learning framework with a large amount of unlabeled sentences or labeled sentence pairs is a common way to obtain high-…
Better Few-Shot Relation Extraction with Label Prompt Dropout
Peiyuan Zhang, Wei Lu
Few-shot relation extraction aims to learn to identify the relation between two entities based on very limited training examples. Recent efforts found that textual labels (i.e., re…