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Emnlp review process

Skill brycewang-stanford/Awesome-Journal-Skills/EMNLP-Skills/skills/emnlp-review-process

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-review-process

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What its author says it does

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Use 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.

SKILL.md

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EMNLP Review Process

Use this to reason about what happens to the paper after upload. EMNLP outsources reviewing to ACL Rolling Review and keeps only the decision: understanding which body controls which lever is most of review-stage strategy. Mechanics below are the May 2026 cycle configuration (checked 2026-07-08); ARR revises its own rules midyear, so reconfirm on aclrollingreview.org before relying on any of it.

Pipeline anatomy

ARR side (owns reviewing)                Conference side (owns deciding)
─────────────────────────                ───────────────────────────────
submit PDF + checklist (May 25)
  → AC assigned, reviewers assigned
  → 3(ish) reviews, scored              commit reviewed paper (by Aug 2)
  → author response + discussion          → SACs rank committed papers
    (Jul 7-13)                             → PCs set boundaries
  → AC meta-review (Jul 30)               → Main / Findings / reject (Aug 20)
  → OR: skip commitment, revise,
       resubmit to a later cycle

Nothing on the left is a decision; nothing on the right adds new reviews. A paper is therefore argued twice — once in front of reviewers, once (silently, via the record) in front of SACs — and the response you write in July serves both audiences.

What the scores mean strategically

Since February 2025, ARR reviewers file three scores plus text:

ScoreWhat it measuresWho consumes it hardest
SoundnessIs the evidence valid for the claims as scoped?The Findings bar — sound work is publishable
ExcitementWould the community care?The Main-vs-Findings boundary
Overall recommendationThe reviewer's synthesisSAC triage ordering

The operational asymmetry: soundness is repairable in a response; excitement rarely is. A soundness objection usually names a missing control, test, or scope edit that text can address. Low excitement with high soundness signals the likely outcome is Findings, and the levers are framing and venue choice, not rebuttal volume.

The meta-review is the product

The AC's meta-review is what SACs actually read at scale. Everything an author does in the review phase should be optimized to make the meta-review say: the reviewers' substantive concerns were addressed or shown mistaken. Practical consequences:

  • Answer the concern the AC is likely to quote, not the reviewer's most annoying sentence.
  • If reviewers disagree with each other, say so explicitly and give the AC the resolution — ACs synthesize, and unresolved contradictions default to caution.
  • The discussion window (July 7-13 in 2026) is short and reviewers may engage once; front-load your strongest material rather than staging it.

Resubmission dynamics

Skipping commitment and revising for a later cycle is a first-class outcome, with sharp edges:

  • Resubmissions return to the same AC and reviewers where possible. New reviewers form an independent opinion before seeing the old reviews — so a genuinely improved paper gets a fresh read, but a cosmetically edited one faces reviewers holding the diff.
  • ARR asks for a revision note explaining what changed; write it as an audit trail keyed to the previous reviews.
  • Cycle arithmetic matters: each ARR cycle aligns to specific conferences. Revising out of the May cycle meant targeting whatever the next cycle fed, not EMNLP 2026.

Ethics and integrity lanes

Reviewers can flag submissions for ethics review, which runs parallel to technical review and can alter or override outcomes. Separately, the 2026 conference call names thinly sliced submissions, hallucinated citations, and entirely AI-generated papers as integrity violations. Neither lane is appealable through a better rebuttal — the defense is a submission that never trips them: documented data provenance, honest checklist answers, and verified references.

Scale effects you should price in

The May 2026 cycle carried 17,087 submissions across a pool of roughly 10,600 reviewers and 1,400 area chairs. Scale has predictable consequences for any single paper:

  • Reviewer expertise is matched statistically, not curated; expect one close expert, one adjacent reader, and occasionally one genuine mismatch. Write the paper so the adjacent reader can follow the argument — they are the median vote.
  • Late, short, or template-flavored reviews happen; the remedy is the discussion window and, where a review is substantively deficient, a calm note to the AC — not a public quarrel in the thread.
  • Meta-review quality varies with AC load. A response that pre-writes the synthesis (short summary block, numbered resolutions) is partly self-defense against a rushed meta-review.
  • Score inflation and compression are real at scale: the difference between "accept" and "Findings" often lives in the meta-review's confidence language rather than in the numeric scores, which is one more reason the response should target prose, not arithmetic.

Reading a review packet in ten minutes

  1. Extract the three scores per reviewer; plot soundness against excitement mentally.
  2. Classify each substantive point: factual error by reviewer / missing-but-runnable evidence / missing-and-unrunnable evidence / taste.
  3. Anything in class two becomes response content; class three drives the commit-vs-revise decision; class four gets one polite paragraph, maximum.
  4. Draft the sentence you want the meta-review to contain, then write the response backward from it.

Output format

[Stage] under review / response window / meta-review out / committed / decided
[Score read] soundness <low/mid/high> × excitement <low/mid/high> per reviewer
[Likely trajectory] Main / Findings / revise-resubmit / withdraw
[Meta-review target sentence] <what the AC should conclude>
[Ethics or integrity exposure] none / flagged / at-risk items

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.