500 citations · 537 across the 6 of their papers we have counts for
6 papers
Answering Questions in Stages: Prompt Chaining for Contract QA
Adam Roegiest, Radha Chitta
Finding answers to legal questions about clauses in contracts is an important form of analysis in many legal workflows (e.g., understanding market trends, due diligence, risk mitig…
A Search for Prompts: Generating Structured Answers from Contracts
Adam Roegiest, Radha Chitta, Jonathan Donnelly +3
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., aler…
Long-Term Memory Networks for Question Answering
Fenglong Ma, Radha Chitta, Saurabh Kataria +4
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 an…
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma, Radha Chitta, Jing Zhou +3
Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task in the development of personalized healthcare. Pati…
Deep Multimodal Representation Learning from Temporal Data
Xitong Yang, Palghat Ramesh, Radha Chitta +3
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. Whe…
Scalable Kernel Clustering: Approximate Kernel k-means
Radha Chitta, Rong Jin, Timothy C. Havens +1
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data. Among various kernel-based clustering algorithms, kernel k-means has gai…