EACL Author Response

SkillDev tools

Use when drafting an EACL author response during the ACL Rolling Review rebuttal window, covering how to triage reviewer points, address the action editor who writes the meta-review, answer NLP objection patterns, run in-window experiments, flag deficient reviews, and decide respond-now versus revise-for-a-later-venue given EACL's single cycle.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the EACL Author Response skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in EACL-Skills/skills/eacl-author-response/SKILL.md and read by ahel’s review.

Use this to work the ARR rebuttal window for a paper aimed at EACL. In ARR the response is addressed to reviewers and to the action editor who will synthesize a meta-review; that meta-review, not any single score, is what EACL's area chairs read at commitment. Reopen the current ARR author guidelines before drafting.

Read the room first

  • Identify the action editor's lens: the meta-review is where reviews get weighed, so a response that moves the action editor matters more than one that merely satisfies the harshest reviewer.
  • Separate blocking objections (a claim reviewers think is unsupported, a missing baseline, a reproducibility gap) from preference comments (a different framing, an extra dataset a reviewer would like). Spend the word budget on the blocking set.
  • EACL's single cycle raises the stakes of this window: for an edition like EACL 2027 there is no next cycle to defer to, so a fixable objection should be fixed now if the experiment fits the window.

Objection-to-move table

Reviewer objection patternStrong response moveWeak response move
"Claim broader than evidence"Narrow the claim in text; point to the exact tableArgue the claim is "obviously" fine
"Missing tuned/LLM baseline"Add it if runnable in-window; else scope the claimDismiss the baseline as unfair
"Not enough languages"Add the runnable subset; state the residual in LimitationsAssert results "would generalize"
"Possible contamination"Report an overlap check or decontamination resultIgnore or hand-wave
"Significance unclear"Report a test / CIs over seedsCite a single-run delta

Drafting rules

  • Lead each reply with the concrete change ("We added X; see revised Table 2"), then the reasoning — reviewers skim.
  • Do not introduce unsupported new claims or results you cannot show; a promise you cannot substantiate reads worse than an honest limitation.
  • Keep the tone factual and non-defensive; the action editor is reading for whether you engaged, not whether you "won."
  • Respect anonymity: no links that deanonymize, no "as we said in our NAACL paper."

Runnable-experiment discipline

For each requested experiment:
  fits_window?  = can it finish and be written before the response deadline?
  changes_claim? = would the result actually alter a reviewer's objection?
  -> run only if fits_window AND changes_claim
  -> otherwise: acknowledge, scope the claim, and record it in Limitations

Do not start a sprawling experiment that cannot land in time; a half-reported result invites a sharper objection.

Flagging a deficient review

  • If a review is unsupported, off-topic, or hostile, you may flag it to the action editor through the proper ARR channel rather than fighting it point-by-point in the public reply.
  • Document the specific deficiency (factual error, no justification) — flagging is for genuine process failures, not for a low score you dislike.

When not to respond hard

  • If the reviews reveal a structural gap no in-window experiment can close, the honest move may be to accept the outcome and plan a later venue — but remember EACL's calendar: the next *ACL opportunity is a different conference, so eacl-topic-selection and eacl-workflow should drive that call.

Output format

[Response plan] <blocking objections, ranked>
[Action-editor angle] <what the meta-review needs to hear>
[In-window experiments] <run / defer, with reason>
[Reviewer replies] <one concise reply per reviewer>
[Deficient-review flags] <if any, with documented reason>
[Route decision] <respond-and-commit / revise-for-later-venue>

Signals

GitHub stars
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Sep 2026
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Item type
skill
Key
eacl-author-response
Source
github.com/brycewang-stanford/awesome-journal-skills