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Found 8 papers, 1 papers with code
Information Retrieval and Classification of Real-Time Multi-Source Hurricane Evacuation Notices
The framework may be applied to other types of disasters for rapid and targeted retrieval, classification, redistribution, and archiving of real-time government orders and notifications.
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets
As a major social media platform, Twitter publishes a large number of user-generated text (tweets) on a daily basis.
ProDCoNN-server: a web server for protein sequence prediction and design from a three-dimensional structure
The prediction is very fast compared with other protein sequence prediction servers - it takes only a few minutes for a query protein on average.
Multi-Granularity Self-Attention for Neural Machine Translation
Current state-of-the-art neural machine translation (NMT) uses a deep multi-head self-attention network with no explicit phrase information.
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons
Recent studies have shown that a hybrid of self-attention networks (SANs) and recurrent neural networks (RNNs) outperforms both individual architectures, while not much is known about why the hybrid models work.
Modeling Recurrence for Transformer
In addition to the standard recurrent neural network, we introduce a novel attentive recurrent network to leverage the strengths of both attention and recurrent networks.
Simulation Study on a New Peer Review Approach
Moreover, we design a new balanced review assignment procedure, which can result in significantly better performance for both MBC and CIGR methods.
