NLP4HR WORKSHOP
Overview
The Human Resources (HR) field involves a range of diverse tasks where Natural Language Processing (NLP) can provide valuable assistance. These tasks include talent acquisition, career growth guidance, performance management, continuous education, and training, among others. At the same time, the adoption of automated techniques for HR applications can also pose certain risks and concerns, such as fairness, privacy, reproducibility, controllability, and transparency among others, for which, again, NLP research can play a pivotal role. The NLP4HR workshop aims to bring together research communities from academia and industry in these interconnected areas to discuss related challenges and opportunities. The workshop will feature invited talks, a panel discussion, and presentations of submitted long and short papers. It will also provide a platform for researchers and practitioners to come together and exchange their ideas and experiences through open discussions.
Important Dates
- Mentorship program deadline: December 15, 2023
- Workshop submission deadlines:
- Notification of acceptance for all submissions: January 20, 2024
- Camera-ready paper due: January 30, 2024
- Workshop: 21 or 22 March 2024 (TBD)
Call For Paper
We invite submissions of both long and short papers that present original and previously unpublished research addressing the challenges associated with the application of NLP for HR. We also consider non-archival submissions upon request (*Please inform the organizers before submitting). Accepted papers will be presented either through oral presentations or poster sessions and will be included in the EACL proceedings as workshop papers.
All regular papers and short papers should adhere to the EACL 2024 submission guidelines, with the only exception being the mandatory inclusion of a limitations section. While we strongly encourage authors to discuss the limitations of their work, we will not reject papers solely for lacking a limitations section.
- Long papers can have up to 8 pages of content, with unlimited references and appendices. Accepted long papers will also receive an additional page of content (up to 9 pages) in the proceedings to incorporate reviewers’ comments.
- Short papers can have up to 4 pages of content, with unlimited references and appendices. Accepted short papers will also receive an additional page of content (up to 5 pages) in the proceedings to incorporate reviewers’ comments.
- All submissions must follow the official ACL style format, which can be found here
- Unlike the main track of EACL 2024, papers without a limitations section will still undergo review for the NLP4HR workshop. Nevertheless, we strongly encourage authors to address the limitations of their work in a dedicated section titled “Limitations.” This section should be placed at the end of the main content of the paper, following the discussion/conclusions section and preceding the references, and will not count towards the page limit.
For more detailed information, please refer to the EACL 2024 website.
Topics of Interest
This workshop is centered around various aspects of applying NLP in the HR domain, including but not limited to:
- Automated creation of HR knowledge bases.
- Parsing, extracting, or inferring information from HR documents (such as job descriptions, resumes, and CVs).
- Techniques for handling semi-structured HR documents.
- Learning representations for HR entities (e.g., jobs, job seekers, employers).
- Search and recommendation systems tailored to HR.
- Dialogue-based HR assistants, agents, or systems.
- Natural language generation for HR purposes.
- Question answering for HR-related queries.
- Detecting and addressing bias in HR.
Important Notes
- No dual submission: NLP4HR will not consider any paper that is currently under review in a journal, another conference, or workshop at the time of submission, and submitted papers must not be simultaneously submitted elsewhere during the review period.
- Presentation: All accepted papers must be presented either in person or virtually at the workshop. At least one author of each accepted paper must register for EACL 2024 and participate in the workshop.
Mentorship Program
We will be hosting a mentorship program to facilitate exchange between potential workshop participants and experts working in areas relevant to the workshop. The goal of the mentorship program is to support underrepresented communities of NLP, as well as junior researchers. Mentors are expected to guide mentees as they prepare submissions for the workshop. Mentees are expected to initiate contact with their assigned mentor and prepare the necessary material for discussion and submission. Mentorship lasts the duration of the program, but the mentor-mentee can of course continue to meet as frequently as they commonly agree upon. We recommend mentees set up a meeting within the first week after the mentor-mentee match is made, discuss their mutual expectations and plan their subsequent interactions. Some example interactions are: 1) iterate on the core idea of the paper, ensuring the problem is relevant and interesting to the community, proposed techniques are well-suited, and experimental results are comprehensive. 2) Discuss in detail related work to ensure submitted work is novel and relevant. 3) Identify areas to expand the paper: discuss short-term open research problems relevant to the submission, and 4) receive feedback on the manuscript to improve the quality of the submission.
Applications to the mentorship program are due December 15th, 2023.
Applications and more details can be found here.
Scholarship Program
The workshop will cover the registration costs (full registration EACL + Workshops + Tutorials) for up to 4 students interested in our workshop. If more than 4 students apply, the organizing committee will prioritize all traditionally underrepresented groups in technology, and if more than 4 authors from underrepresented groups apply, priority will be given to authors of papers accepted/submitted to the workshop. If any further selection is still needed, it will be based on a first-come, first-served basis.
