Enabling experts to build knowledge bases from science textbooks
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Exploiting paraphrases and deferred sense commitment to interpret questions more reliably
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
DynaLearn: architecture and approach for investigating conceptual system knowledge acquisition
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Guru: a computer tutor that models expert human tutors
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KBGen: text generation from knowledge bases as a new shared task
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Our aim is for intelligent tutoring agents to replace traditional and even online textbooks with personalized, adaptive, one-to-one instruction. We focus on science subjects, and describe an approach to answering hypothetical questions from the student, such as "Would cellular respiration continue in the absence of oxygen?"