Template-based Recruitment Email Generation for Job Recommendation
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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.
|Titel||GEM 2022 - 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, Proceedings of the Workshop|
|Forlag||Association for Computational Linguistics (ACL)|
|Status||Udgivet - 2022|
|Begivenhed||2nd Workshop on Natural Language Generation, Evaluation, and Metrics, GEM 2022, as part of EMNLP 2022 - Abu Dhabi, United Arab Emirates|
Varighed: 7 dec. 2022 → …
|Konference||2nd Workshop on Natural Language Generation, Evaluation, and Metrics, GEM 2022, as part of EMNLP 2022|
|Land||United Arab Emirates|
|Periode||07/12/2022 → …|
This research was supported by the Innovation Fund Denmark, grant no. 0175-000005B.
© 2022 Association for Computational Linguistics.