English

Template-based Recruitment Email Generation For Job Recommendation

Computation and Language 2022-12-07 v1

Abstract

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.

Cite

@article{arxiv.2212.02885,
  title  = {Template-based Recruitment Email Generation For Job Recommendation},
  author = {Qiuchi Li and Christina Lioma},
  journal= {arXiv preprint arXiv:2212.02885},
  year   = {2022}
}

Comments

Accepted by GEM2022 workshop

R2 v1 2026-06-28T07:23:25.573Z