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Michael Flor

Michael Flor is a senior research scientist at the ETS Research Institute, the research arm of the Educational Testing Service, in Princeton, New Jersey. He specializes in language technology for educational applications. At ETS, Dr. Flor has led, and co-led R&D projects focused on text complexity and readability, question generation, automated spelling correction, analysis of figurative language, automated scoring of essays and short answers, assessment of collaborative problem solving, sentiment analysis, and on psycholinguistic aspects of the lexicon. He serves as an academic editor for the PLOS ONE journal and as a guest associate editor for the journal Frontiers in AI. He is a long-time member of SIGEDU and has been a committee member for multiple international conferences and workshops in the areas of NLP and language learning.

Automatic Question Generation Erschienen am 04.07.2025

Automatic Question Generation

E-Book

Introduction.- AQG System Architectures.- Generating Questions from Ontologies and Knowledge Graphs.- Use Cases.- Advances in AQG for Training Automatic Question Answering (QA) Systems.- Evaluation.- Content Selection and Question Focusing.- Related and Future Research Directions.

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