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

这项博士研究将具有很高的创新性，扩大了目前数字技术用于职业发展的范围。实际工作的重点是开发一个对话系统，利用苏格兰技能发展组织(SDS)持有的现有数据，供年轻人参与关于他们的职业兴趣、抱负和长处的对话。它将采取互动化身的形式，具有可识别的人类特征。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，将利用现有的可持续发展战略数据，研究对话管理的创新办法。开发用于职业决策支持的新的自然语言生成方法将代表着从目前基于模板的静态界面转向更动态、更适合满足客户需求的界面。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呈现方面的最新模式，为职业领域作出贡献。

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.