Natural Language Interfaces to support career decision-making of young people

自然语言界面支持年轻人的职业决策

• 批准号: 2398792
• 金额: --
• 依托单位: Edinburgh Napier University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2398792
• 关键词: Natural; Language; Interfaces; support; career

This doctoral study will be highly innovative, extending the scope of current uses of digital technology for career development. The practical work centres on development of a dialogue system utilising existing data held by Skills Development Scotland (SDS), for use by young people to engage 'in conversation' about their career interests, aspirations, and strengths. It will take the form of an interactive avatar with identifiable human characteristics. In the initial stages of the research, potential applications of Machine Learning for career decision support will be explored. Thereafter innovative approaches to dialogue management will be investigated, drawing upon existing SDS data. The development of novel natural language generation approaches to career decision support will represent a move away from current static template-based interfaces to one that is more dynamic and suited to meet client needs. Completion of the study will contribute to the careers domain through the provision of state-of-art models in dialogue management, natural language generation and information representation.

这项博士研究将具有高度创新性，扩展了当前数字技术在职业发展中的应用范围。实际工作的中心是开发一个对话系统，利用苏格兰技能发展（SDS）持有的现有数据，供年轻人使用，就他们的职业兴趣、愿望和优势进行“对话”。它将以具有可识别人类特征的交互式化身的形式出现。在研究的初始阶段，将探索机器学习在职业决策支持方面的潜在应用。此后，将利用现有的SDS数据，研究对话管理的创新办法。开发新的自然语言生成方法来支持职业决策，将代表着从当前基于模板的静态接口向更动态、更适合满足客户需求的接口的转变。这项研究的完成将通过提供对话管理、自然语言生成和信息表示方面的最先进模型，为职业领域作出贡献。