ICON 2021: 18th International Conferenceon Natural Language ProcessingDecember 16-19Organized byNLP Association IndiaCentre for Natural Language ProcessingDepartment of Computer Science and EngineeringNational Institute of Technology Silchar |
Call for Papers
The eighteenth International Conference on Natural Language Processing (ICON-2021) will be held at NIT Silchar, India during December 16-19, 2021. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational linguistics (CL) in India and abroad. The main conference is on December 17-18, 2021. This will be preceded by one day of pre-conference tutorials / workshops on December 16, 2021 and one day of post conference shared tasks / tools / demos on December 19, 2021.
Topics Papers are invited on substantial, original and unpublished research on all aspects of Natural Language Processing, with a particular focus on South Asian languages and other less resourced languages, issues, and applications relevant to South Asia. However, other languages of the world are not excluded. The areas of interest include, but are not limited to: |
Proposals are invited for pre-conference tutorials/workshops. Tutorials/Workshops can be of half-day or full-day duration. The proposal should be presented in the form of an extended abstract (1-2 pages) as per the ICON 2021 template (ACL template). This should contain a topical outline of the content, description of the proposers and their qualifications relating to the tutorial content.
Proposals for Tutorial/Workshop can be submitted at this link. Send tutorial/workshop proposals to the ICON-2021 Secretariat by email to icon2021nitsilchar@gmail.com. For further information, please refer to the Conference URL or contact the ICON-2021 Secretariat.
The ICON organising Committee pleased to call for papers for the 3rd Doctoral Consortium. This event extends an opportunity for doctoral candidates to present and discuss their research with a panel of experts. The discussion would include a feedback on the evolution and progress of their research. It also helps them to identify the roadmap and additional studies, which could help refine the shape of their doctoral thesis. The doctoral consortium will be a one-day or half day event being organised on December 16, 2021, as part of the ICON-2021 conference at the National Institute of Technology Silchar (NIT Silchar). The applicants are required to submit a two-page extended abstract of their PhD research work. Submit your abstracts at this link . The shortlisted candidates would be invited to the consortium where they are required to present a summary of their research. Each candidate will be given 30 minutes for the presentation, which will be followed by a discussion of 15 minutes, led by a panel of experts. Prospective doctoral students from language technologies related disciplines are invited to apply. The selection of participants will be based on the submitted abstracts.
Guidelines
The invitation is open to all participants of ICON 2021. The applicants are required to submit an extended two-page abstract on their ongoing doctoral research. The submission can be extended to a maximum of two pages including all text, figures and tables, plus an additional third page exclusively for references. The submissions must follow the ICON template provided in the author's kit.The abstracts may incorporate published and in-progress work from the authors. Submissions are expected to present a fair picture of the research undertaken towards the thesis. Participants are advised to refrain from submitting a shorter version of their conference papers. Submissions must have the participant as the sole author. Acknowledgements to their supervisors, supporting agencies/bodies, and contributors to thework, can be made in a separate section.
The submission must highlight the following: The motivation of the research; Key issues identified/addressed; Major contributions; Methodologies, Experiments; Discussion of results; Future plans and Roadmap for the thesis.
Proposals are invited for post-conference shared tasks / tools / demos. Shared Tasks /Tools / Demos can be of half-day or full-day duration. The proposal should be presented in the form of an extended abstract (1-2 pages) as per the ICON 2021 template (ACL template). This should contain a topical outline of the content, description of the proposers and their qualifications relating to the shared tasks / tools / demos content.
Proposals for Shared Tasks /Tools / Demos can be submitted at this link. Send shared task / tool / demo proposals to the ICON-2021 Secretariat by email to icon2021nitsilchar@gmail.com. For further information, please refer to the Conference URL or contact the ICON-2021 Secretariat.
Event | Date |
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Paper Submission Deadline |
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Paper Acceptance Notification |
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Paper Camera Ready Paper Submission |
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Doctoral Consortium Deadline |
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Paper Acceptance Notification (Doctoral Consortium) |
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Workshop Proposal Submission |
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Workshop Acceptance Notification |
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Tutorial Proposal Submission |
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Tutorial Acceptance Notification |
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Shared Task /Tool/ Demo Proposal Submission |
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Shared Task /Tool/ Demo Acceptance Notification |
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Conference |
December 16-19, 2021 |
Long Papers
Long paper submissions must describe substantial, original, completed and unpublished work.
Long papers may consist of up to 8 pages of content, plus unlimited references. Final versions of long papers will be given one additional page of content (up to 9 pages) plus any no of pages for the references.
Short Papers
Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are:
A small, focused contribution
A negative result
An opinion piece
An interesting application nugget
Short papers may consist of up to 4 pages of content, plus unlimited references. Upon acceptance, short papers will be given 5 content pages in the proceedings. Instructions for Double-Blind Review
As reviewing will be double blind, papers must not include authors' names and affiliations. Furthermore, self-references or links (such as github) that reveal the author's identity, e.g., "We previously showed (Smith, 1991) .." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ..." Papers that do not conform to these requirements will be rejected without review.
Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above ("Smith showed" rather than "we showed").
Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should be anonymized as well.
Authorship
The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to ICON 2021 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to ICON 2021 after the paper submission deadline.
Paper Submission and Templates
Submission is electronic, using the Softconf START conference management system. The submission site is now available at https://www.softconf.com/icon2021/papers/
The deadline for submission of both long and short papers is 22 October, 2021 (GMT -12).
Both long and short papers must follow the ACL Author Guidelines
Style sheets (Latex, Word) are available here: https://acl2020.org/downloads/acl2020-templates.zip
The Overleaf template is also available here: https://www.overleaf.com/latex/templates/acl-2020-proceedings-template/zsrkcwjptpcd
Please do not modify these style files, or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.