Building Machine Learning Systems for Automated ESG Scoring

Automated Essay Scoring Using Machine Learning

We built an automated essay scoring system to score approximately 13,000 essay from an online Machine Learning competition Kaggle.com. There are 8 different essay topics and as such, the essays were divided into 8 sets which differed significantly in their responses to the our features and evaluation. Our focus for this essay grading was the style of the essay, which is an extension on the stud...

Machine Teaching: A New Paradigm for Building Machine Learning Systems

The current processes for building machine learning systems require practitioners with deep knowledge of machine learning. This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build them. We believe that in order to meet this growing demand for machine l...

Proactive Learning for Building Machine Translation Systems for Minority Languages

Building machine translation (MT) for many minority languages in the world is a serious challenge. For many minor languages there is little machine readable text, few knowledgeable linguists, and little money available for MT development. For these reasons, it becomes very important for an MT system to make best use of its resources, both labeled and unlabeled, in building a quality system. In ...

Machine Learning for Automated Reasoning

Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction. Supplemental Material

These are additional figures and tables related to our dataset. The additional file input.csv.gz includes the input data as comma separated matrix, which can be read by most spreadsheet applications or the R code data <read.csv("input.csv", row.names=1). The first row is the atomID as stored in NMRshiftDB, the remaining 246 columns are the descriptor values with at most 50% NA values. The categ...