论文标题

基于模板的招聘电子邮件生成工作推荐

Template-based Recruitment Email Generation For Job Recommendation

论文作者

Li, Qiuchi, Lioma, Christina

论文摘要

长期以来,文本生成一直是NLP的流行研究主题。但是,在工作建议方案中,从招聘人员到候选人生成招聘电子邮件的任务很少受到研究界的关注。这项工作旨在定义自动电子邮件生成的主题,以供工作推荐,确定挑战,并为丹麦工作提供基线模板的解决方案。人类专家的评估表明我们的方法是有效的。我们通过讨论未来的研究方向来解决该任务。

Text generation has long been a popular research topic in NLP. However, the task of generating recruitment emails from recruiters to candidates in the job recommendation scenario has received little attention by the research community. This work aims at defining the topic of automatic email generation for job recommendation, identifying the challenges, and providing a baseline template-based solution for Danish jobs. Evaluation by human experts shows that our method is effective. We wrap up by discussing the future research directions for better solving this task.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源