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

这项博士研究将具有高度创新性，扩展了当前数字技术用于职业发展的范围。实际工作的重点是利用苏格兰技能发展局掌握的现有数据开发一个对话系统，供年轻人就其职业兴趣、愿望和优势进行“对话”。它将采用具有可识别人类特征的交互式化身的形式。 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，将利用现有的战略部署数据调查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，将代表从当前基于模板的静态界面转向更加动态和适合客户需求的界面。 研究的完成将有助于通过提供对话管理，自然语言生成和信息表示方面的最新模型的职业领域。

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.