EMNLP Skills
A 12-skill depth pack for EMNLP submissions: venue fit, ACL Rolling Review submission checks, author response, camera-ready, artifacts, reproducibility, appendices, review-and-commitment process, writing style, related work, experiments, and workflow. Grounded in the EMNLP 2026 CFP, the ARR May 2026 cycle, OpenReview groups, and the ACL Anthology, checked on 2026-07-08.
Skills in this plugin
11- ▌ Emnlp Workflow · brycewang-stanfordUse when planning an EMNLP project calendar end to end — choosing the ACL Rolling Review cycle that feeds the conference, backward-planning experiments and annotation to the ARR deadline, scheduling the author response window, deciding commit versus revise-and-resubmit, and mapping camera-ready and Budapest presentation logistics.
- ▌ Emnlp Submission · brycewang-stanfordUse when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations section, the Responsible NLP checklist and its desk-reject enforcement, anonymization without an anonymity period, venue preference, and reciprocal-reviewing duties.
- ▌ Emnlp Experiments · brycewang-stanfordUse when designing or auditing the experimental program of an EMNLP paper — baseline fairness and tuning budgets, dataset and language coverage matched to claims, contamination audits for pretrained and API models, significance testing and seed variance, human evaluation protocols, prompt sensitivity, and the error analysis EMNLP reviewers expect.
- ▌ Emnlp Related Work · brycewang-stanfordUse when positioning an EMNLP submission inside NLP's fast-moving literature — covering ACL Anthology lineages and arXiv concurrency, citing Findings and workshop papers correctly, tracing dataset and benchmark ancestry, verifying every reference resolves under the hallucinated-citation policy, and keeping self-citation double-blind.
- ▌ Emnlp Supplementary · brycewang-stanfordUse when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body, what belongs in appendix prompts-and-tables territory, and what ships as anonymous code and data archives.
- ▌ Emnlp Writing Style · brycewang-stanfordUse when revising an EMNLP draft for the venue's empirical voice — phenomenon-first framing, claims scoped to tested languages and domains, examples tied to counted errors, a Limitations section with content, honest hedging calibrated to evidence strength, and ACL two-column discipline for long and short formats.
- ▌ Emnlp Review Process · brycewang-stanfordUse when explaining or strategizing around EMNLP's two-stage pipeline — ACL Rolling Review scoring with soundness, excitement, and overall recommendation, area-chair meta-reviews, the commitment step, and conference-side decisions by Senior Area Chairs into Main, Findings, or rejection — including resubmission dynamics and ethics flags.
- ▌ Emnlp Author Response · brycewang-stanfordUse when drafting an EMNLP author response in the ACL Rolling Review discussion window — triaging replies by soundness versus excitement, deciding what evidence can be added mid-review, staying anonymous, and writing for the area chair's meta-review and the post-commitment Senior Area Chairs, not the reviewers alone.
- ▌ Emnlp Reproducibility · brycewang-stanfordUse when hardening an EMNLP paper's reproducibility record — answering the Responsible NLP checklist truthfully under desk-reject enforcement, pinning model versions and API snapshot dates, logging decoding parameters and prompts, documenting data licensing and annotation, and reporting compute so another lab could rerun the study.
- ▌ Emnlp Topic Selection · brycewang-stanfordUse when deciding whether a project belongs at EMNLP, weighing its empirical-NLP identity against ACL, NAACL, EACL, AACL, CoNLL, LREC-COLING, TACL, and ML venues, matching the contribution to EMNLP's welcomed paper types including negative results and reproductions, and choosing between main conference, Findings, industry, and demo pipelines.
- ▌ Emnlp Artifact Evaluation · brycewang-stanfordUse when packaging the artifacts of an EMNLP paper — datasets, annotation guidelines, prompts, evaluation code, and model outputs — as anonymous review-time evidence or public post-acceptance releases, with licensing, data statements, and the inspection order NLP reviewers actually follow.