New deadline for Direct submission is Friday, December 22th, 2023. I hope to see you at our workshop (together with EACL2024) in Malta, in March 2024.
Drop me a line if you have any questions. Cheers, Estevam. -- Estevam Hruschka Lab Director and Staff Research Scientist Megagon Labs - www.megagon.ai
On Fri, Dec 8, 2023 at 6:24 PM Estevam Rafael Hruschka Junior < estevam.hruschka@gmail.com> wrote:
The First Workshop on Natural Language Processing For Human Resources will be held on 21 or 22 March (TBD) in Malta together with EACL 2024.
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:
- Direct submission: Extended: December 22, 2023
- Mentorship paper submission: January 5, 2024
- Paper commitment via ARR: January 17, 2024
Notification of acceptance for all submissions: January 20, 2024 Camera-ready paper due: January 30, 2024 Workshop: 21 or 22 March 2024 (TBD) *All deadlines are 11:59 PM AoE
- Topics of Interest *
The topics for submissions include but are not limited to:
- Acquiring HR-specific knowledge from a variety of sources
- Information extraction from HR documents, including job descriptions and
resumes
- Representation learning for HR entities like jobs, job seekers, and
employers
- Analysis of opinions on companies
- Search and recommendation systems for recruiters and job seekers
- Conversational HR assistants
- Generation of HR-related documents
- Question answering systems for HR-related inquiries
- Identification and rectification of biases
- Submissions *
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 feedback from the reviewers.
- 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 feedback from the reviewers.
- All submissions must follow the official ACL style format, which can be
found at this link: https://github.com/acl-org/acl-style-files
- 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 ( https://2024.eacl.org).
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.
Submission links:
- Direct submission:
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/NLP4HR
- Paper commitment (ARR):
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/NLP4HR_ARR_Commi...
- Mentorship Program and Student Scholarship Program *
The workshop will offer two programs aimed at promoting diversity, fairness, and equality for all participants who submit to and attend the workshop. (1) We host a mentorship program, designed to foster valuable exchanges between prospective workshop attendees and experts working in fields relevant to the workshop theme. (2) We will cover the registration fees for up to four deserving student researchers. Further details regarding this will be announced on the workshop website.
Applications to the mentorship program are due December 15th, 2023. Applications and more details can be found at https://forms.gle/8AycB9rgpkpt7oiu9
- NLP4HR 2024 Organizing Committee *
- Estevam Hruschka, Megagon Labs, USA
- Thom Lake, Indeed, USA
- Naoki Otani, Megagon Labs, USA
- Tom Mitchell, Carnegie Mellon University, USA
For more details, visit the workshop website at https://megagon.ai/nlp4hr-2024/ -- Estevam Hruschka Lab Director and Staff Research Scientist Megagon Labs - www.megagon.ai