no code implementations • 16 Oct 2023 • Adam Roegiest, Radha Chitta, Jonathan Donnelly, Maya Lash, Alexandra Vtyurina, François Longtin
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).
no code implementations • 6 Jul 2017 • Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
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.
no code implementations • 19 Jun 2017 • Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
Existing work solves this problem by employing recurrent neural networks (RNNs) to model EHR data and utilizing simple attention mechanism to interpret the results.
no code implementations • CVPR 2017 • Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
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.
no code implementations • 16 Feb 2014 • Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data.