Call for Paper

The scope of this workshop is broad and seeks submissions on, but not limited to:

  • Novel NLP methods for agriculture and/or livestock management

  • Precision agriculture

  • Multilingual agricultural and/or livestock text mining

  • Agricultural and/or livestock management information retrieval

  • Agricultural and/or livestock management information extraction

  • Multi-modal Agricultural and/or livestock information extraction

  • Agricultural/livestock named entity recognition and disambiguation

  • Agricultural/livestock text visualization

  • NLP agricultural/livestock applications

  • Societal impacts of agricultural/livestock text mining, language resources, and datasets

  • Agricultural/livestock web crawling

  • Agricultural/livestock ontologies

  • Novel agrisemantic resources

  • Bias or gaps in existing agrisemantic resources

  • Agrisemantic data integration

  • Novel argisemantic backed agricultural applications and agribusiness industry case studies

Paper Submission Information

Long Papers: Long paper submissions must describe substantial, original, completed and unpublished work. Long papers may consist of up to 6 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Short Papers: Short paper submissions must describe original and unpublished work.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. Authors are encouraged to use this additional page to address reviewers' comments in their final versions. Appendices are material that can be read, and include lemmas, formulas, proofs, and tables that are not critical to the reading and understanding of the paper. Note that reviewers are not required to consider material in appendices. Appendices should come after the references in the submitted pdf, but do not count towards the page limit. Also, appendices should not be more than 4 pages for long papers and 2 pages for short papers.

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 2022 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 2022 after the paper submission deadline.

Paper Submission and Templates:

Both long and short papers must follow the ACL Author Guidelines.

Style sheets (Latex, Word) are available here: (Latex, Word)

The Overleaf template is also available here: (Overleaf)

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.


Submissions will be taken electronically via Microsoft CMT3 (Choose the Workshop)

Submission portal: https://cmt3.research.microsoft.com/ICON2022