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Found 16 papers, 0 papers with code
What Action Causes This? Towards Naive Physical Action-Effect Prediction
Despite recent advances in knowledge representation, automated reasoning, and machine learning, artificial agents still lack the ability to understand basic action-effect relations regarding the physical world, for example, the action of cutting a cucumber most likely leads to the state where the cucumber is broken apart into smaller pieces.
Filling the Blanks (hint: plural noun) for Mad Libs Humor
Computerized generation of humor is a notoriously difficult AI problem.
Annotating Clinical Events in Text Snippets for Phenotype Detection
Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.
Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading
We introduce a new approach to the machine-assisted grading of short answer questions.
Statistical Section Segmentation in Free-Text Clinical Records
Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within.
