Template-based Recruitment Email Generation for Job Recommendation
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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.
Original language | English |
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Title of host publication | GEM 2022 - 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, Proceedings of the Workshop |
Number of pages | 9 |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2022 |
Pages | 189-197 |
ISBN (Electronic) | 9781959429128 |
Publication status | Published - 2022 |
Event | 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, GEM 2022, as part of EMNLP 2022 - Abu Dhabi, United Arab Emirates Duration: 7 Dec 2022 → … |
Conference
Conference | 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, GEM 2022, as part of EMNLP 2022 |
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Land | United Arab Emirates |
By | Abu Dhabi |
Periode | 07/12/2022 → … |
Bibliographical note
Publisher Copyright:
© 2022 Association for Computational Linguistics.
Links
- https://aclanthology.org/2022.gem-1.15/
Final published version
ID: 360401053