In this research note, we propose a classification method for identifying whether 501c3 nonprofit organization is considered essential economic recovery. During the first few months of COVID-19 pandemic, many organizations experienced negative financial effects from recession. While these nonprofits saw increased demand their services, weakness in overall economy led to decline donations. Fisca...

Electronic Health Records include health-related information, among which there is text mentioning health conditions and diagnoses. Usually, also coded using appropriate terminologies classifications. The act of coding time consuming prone to mistakes. Consequently, increasing demand for clinical mining tools help coding. In last few years Natural Language Processing (NLP) models has been shown...

This paper proposes a method to disentangle and quantify interactions among words that are encoded inside DNN for natural language processing. We construct tree encode salient extracted by the DNN. Six metrics proposed analyze properties of between constituents in sentence. The interaction is defined based on Shapley values words, which considered as an unbiased estimation word contributions ne...

The present work aimed at studying growth pattern and carcass traits in pearl grey guinea fowl fed on dietary Neem (Azadirachta indica) leaf powder (NLP) over a period of 12 weeks. Day old guinea fowl keets (n=120) were randomly assigned to four treatment groups, each with 3 replicates. The first treatment was designated as control (T0) in which no supplement was added to the feed, while in tre...

OBJECTIVE To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report. MATERIALS AND METHODS We built a syst...

A novel formulation for combined scheduling and control of multi-product, continuous chemical processes is introduced in which nonlinear model predictive control (NMPC) and noncyclic continuous-time scheduling are efficiently combined. A decomposition into nonlinear programming (NLP) dynamic optimization problems and mixed-integer linear programming (MILP) problems, without iterative alternatio...

In this paper, we attempt to solve the problem of Prepositional Phrase (PP) attachments in English. The motivation for the work comes from NLP applications like Machine Translation, for which, getting the correct attachment of prepositions is very crucial. The idea is to correct the PPattachments for a sentence with the help of alignments from parallel data in another language. The novelty of o...