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EMNLP Supplementary & Appendix Architect

brycewang-stanfordbybrycewang-stanford
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Aprendizaje y Documentación

Structures EMNLP and ACL Rolling Review papers across main content, limitations, appendices, and supplementary code uploads to maximize review impact and maintain anonymity.

The EMNLP Supplementary skill provides expert guidance for NLP researchers preparing submissions for EMNLP and ACL Rolling Review (ARR). It establishes a systematic framework for dividing research artifacts across the four core review surfaces: must-read content pages, audited Limitations and ethics sections, discretionary appendices, and optional supplementary archives. By ensuring the main body stands independently while appendices cleanly hold verbatim prompts, full metric grids, and annotation guidelines, this skill helps authors avoid common desk-reject and review pitfalls while enforcing strict multi-layer anonymity checks on code and data archives.

Características Principales

01Appendix structuring for verbatim prompts, complete experimental grids, and annotation kits
021,074 GitHub stars
03Four-surface review boundary mapping across body, limitations, appendices, and zips
04Body-appendix cross-referencing audit to prevent orphaned discretionary sections
05Comprehensive anonymity verification for supplementary code, notebooks, and dataset artifacts
06Format and page-budget calibration tailored for both ARR long (8-page) and short (4-page) tracks

Casos de Uso

01Auditing supplementary code, logs, and notebook archives for metadata identity leaks
02Partitioning paper content between the main 8-page body and appendix tables before an ARR deadline
03Refactoring NLP experiment prompts, error taxonomies, and annotation guidelines into compliant appendices