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A Search for Prompts: Generating Structured Answers from Contracts
In many legal processes being able to action on the concrete implication of a legal question can be valuable to automating human review or signalling certain conditions (e. g., alerts around automatic renewal).
Long-Term Memory Networks for Question Answering
Question answering is an important and difficult task in the natural language processing domain, because many basic natural language processing tasks can be cast into a question answering task.
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Existing work solves this problem by employing recurrent neural networks (RNNs) to model EHR data and utilizing simple attention mechanism to interpret the results.
Deep Multimodal Representation Learning from Temporal Data
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications.
Scalable Kernel Clustering: Approximate Kernel k-means
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data.
