Context-Driven Generation of Diverse Questions

    公开(公告)号:US20250005329A1

    公开(公告)日:2025-01-02

    申请号:US18216031

    申请日:2023-06-29

    Applicant: eBay Inc.

    Abstract: In accordance with techniques for context-driven generation of diverse questions, a machine learning model receives a first target question, a second target question, and a context. Based on the context and one or more words of the first target question, a first decoder of the machine learning model outputs a first representation of candidate words to follow the one or more words of the first target question. Based on the context and one or more words of the second target question, a second decoder of the machine learning model outputs a second representation of candidate words to follow the one or more words of the second target question. The machine learning model is fine-tuned to generate diverse questions for a given context based on a diversity loss that captures a degree of variance between the first representation and the second representation.

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