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        Improving open text matching in a communication serious game

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        Andrei_Ungureanu_Master_Thesis.pdf (540.9Kb)
        Publication date
        2022
        Author
        Ungureanu, Andrei
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        Summary
        I analyze and implement state-of-the-art natural language processing models for open text understanding to improve the matching of open text input in a serious game that uses custom scenarios created for training communication skills, called Communicate. Previous work in matching open text input in this serious game used a scenario specic corpus, a corpus containing all the words used in the particular scenario, to match open text input to a scripted statement. This scenario-specic corpus contains mathematical representations for each word appearing in the scenario. The goal of this thesis is to expand on this previous work by exploring state-of-the-art word embeddings and implementing relevant models that use scenario specic information to try to improve the open text matching process.
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        https://studenttheses.uu.nl/handle/20.500.12932/43284
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