The Design and Implementation of Arrow Game Projection Interactive System Based on Deep Learning

Author(s):  
Lianhao Xu ◽  
Bo Li ◽  
Wei Xie ◽  
Langwen Zhang
2020 ◽  
Vol 34 (09) ◽  
pp. 13634-13635
Author(s):  
Kun Qian ◽  
Poornima Chozhiyath Raman ◽  
Yunyao Li ◽  
Lucian Popa

Entity name disambiguation is an important task for many text-based AI tasks. Entity names usually have internal semantic structures that are useful for resolving different variations of the same entity. We present, PARTNER, a deep learning-based interactive system for entity name understanding. Powered by effective active learning and weak supervision, PARTNER can learn deep learning-based models for identifying entity name structure with low human effort. PARTNER also allows the user to design complex normalization and variant generation functions without coding skills.


Author(s):  
Caitlin Kelleher

Self-directed, open-ended projects can enable students to pursue their own interests and lead to deep learning. However, it can be difficult to incorporate these kinds of projects into a traditional curriculum in which all students must master a set of basic skills. In this chapter, the authors describe the design and implementation of Storytelling Alice, a programming environment that presents computer programming as a means to the end of creating animated stories. By studying the kinds of animated movies that students envision creating, the chapter’s authors were able to design the system such that typical student projects naturally motivate the set of basic concepts we want students to learn. The authors present a potential model for incorporating Storytelling Alice into a classroom setting using open-ended projects. The chapter concludes with a discussion of some directions for future work that may help to enable the use more open-ended projects in formal education.


2019 ◽  
Vol 1362 ◽  
pp. 012046
Author(s):  
Tamizhelakkiya ◽  
Utkarsh Kumar ◽  
Dussa Vishnu Simha ◽  
Pratyush Prasanna Sahu

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