European Society of Radiology LI-RADS: Liver Imaging-Reporting and Data System LIME: Local Interpretable Model-agnostic Explanations MCQ: Multiple-choice questions NLP: Natural language processing PI-RADS: Prostate Imaging-Reporting and Data System UEMS: European Union of Medical Specialists ...
[7]. We propose a semi-automatic approach to conceptual validation based on the automatic generation of natural language questions and the processing of experts answers to these questions. We propose an optimization method to reduce the number of questions required to validate a given ontology using...
[7]. We propose a semi-automatic approach to conceptual validation based on the automatic generation of natural language questions and the processing of experts answers to these questions. We propose an optimization method to reduce the number of questions required to validate a given ontology using...
2.2 Generate MCQ Questions qg = main.QGen() output = qg.predict_mcq(payload) pprint (output) Show Output {'questions': [{'answer': 'cricketer', 'context': 'Sachin Ramesh Tendulkar is a former international ' 'cricketer from India and a former captain of the ' 'Indian national team.'...
Auto-CORPus: A Natural Language Processing Tool for Standardising and Reusing Biomedical Literaturedoi:10.1101/2021.01.08.425887Tim BeckTom ShorterYan HuZhuoyu LiShujian SunCasiana M. PopoviciNicholas A. R. McQuibbanFilip MakraduliCheng S. Yeung...
Statistical models such as those derived from Item Response Theory (IRT) enable the assessment of students on a specific subject, which can be useful for several purposes (e.g., learning path customization, drop-out prediction). However, the questions ha
Keywords: Internet of Things; IoT; smart home; chatbot; natural language processing; NLP; Web Speech API; Dialogflow API; MQTT; multi-tier architecture 1. Introduction Mobile phones, home electrical appliances, cars, simple light bulbs, airplanes—indeed, almost every device we use in our daily...
2.2 Generate MCQ Questions qg = main.QGen() output = qg.predict_mcq(payload) pprint (output) Show Output {'questions': [{'answer': 'cricketer', 'context': 'Sachin Ramesh Tendulkar is a former international ' 'cricketer from India and a former captain of the ' 'Indian national team.'...