--- name: naacl-supplementary description: Use when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read, and keeping glossed language examples and long tables from starving the main argument. --- # NAACL Supplementary An ARR submission bound for NAACL has four storage tiers with different review contracts, and misfiling material across them is a self-inflicted wound. The tiers, from strongest contract to weakest: | Tier | Counted? | Reviewer obligation | Belongs here | |---|---|---|---| | Content pages (8 long / 4 short) | Yes | Must read; sole basis of judgment | Claims, method, main results, decisive analysis | | Limitations (+ optional ethics) | No | Read and audited | Real scope boundaries, risk discussion | | Appendix (same PDF, after refs) | No | May consult | Full prompt sets, extra tables, proofs of preprocessing | | Uploaded supplements (archives) | No | Discretionary | Code, data samples, guidelines, raw outputs | The operating rule: a reviewer who reads *only* tier 1 must be able to accept the paper. If a claim's only support lives in tier 3 or 4, the claim is unsupported for decision purposes. ## The NAACL-specific space pressure: examples in other languages Papers on Spanish, Portuguese, Haitian Creole, or Indigenous American languages carry a cost English-only papers never pay: every example needs the original line, a gloss, and a translation — three lines where a monolingual paper spends one. Budget for it deliberately: - Keep two or three *load-bearing* glossed examples in the content pages — the ones your error analysis actually turns on. - Move the example gallery to the appendix, one pointer per phenomenon. - Never compress by dropping the gloss line; an unglossed example excludes every reviewer who does not read the language, which at a Nations-of-the-Americas venue is a strange own goal. - Interlinear-gloss LaTeX packages (`gb4e`, `expex`) interact badly with tight column budgets; test early, not the night before. ## Limitations: uncounted but not unread The Limitations section costs no pages, and reviewers check whether the weaknesses they found appear in it. Write it as the paper's honest edge: - which language varieties and domains the claims do not extend to; - resource asymmetries (a 7B model per language vs. one multilingual run); - annotation limits — single-dialect annotators, small agreement samples; - what the community-data terms prevented you from testing or releasing. A Limitations section that predicts the reviews reads as mastery; one that lists "compute was limited" reads as filler. ## Appendix construction discipline 1. Every appendix section gets at least one forward reference from the content pages; unreferenced appendices are invisible. 2. Order appendix sections by reference order, not by writing order. 3. Tables that exist only to prove thoroughness (per-seed dumps, all-prompt grids) go last, clearly labeled as completeness material. 4. Nothing decision-critical enters the appendix after the response window — reviewers scored the paper without it. ## Tier migration during revision cycles Material moves between tiers as the paper evolves, and each direction has a rule: - **Promotion (appendix → body):** legitimate any time before upload; after reviews, promote only what the response window discussed — reviewers scored the body they read. - **Demotion (body → appendix):** the standard compression move; leave a one-line summary plus pointer at the original location so the argument's spine stays visible. - **Resubmission reshuffles:** if a prior cycle's reviewer ignored appendix evidence, the fix is usually promotion plus a change-summary line saying so — not a complaint that the evidence existed. - **Never migrate silently between the reviewed version and camera-ready:** the tier map of the accepted paper is part of what was accepted. ## Upload-tier packaging check ```bash # Pre-upload sweep of the supplement archive unzip -l supp.zip | grep -Ei '\.git/|DS_Store|__pycache__|\.ipynb_checkpoints' # Anonymity: usernames, lab paths, letterheads unzip -p supp.zip '*.md' '*.py' '*.txt' | grep -nEi '/(home|Users)/[a-z]+|university|lab\b' # Size and openability on a clean machine du -h supp.zip && unzip -t supp.zip > /dev/null && echo OK ``` ## Allocation walkthrough A 9.5-page draft on named-entity recognition for three code-switched pairs: the per-pair ablation grid (0.7 pages) moves to the appendix behind one summary row; four of six glossed examples move to an appendix gallery; the dialect-coverage caveat moves *out* of a footnote into Limitations where it is free; the annotation guidelines PDF and scoring scripts go to the upload tier. Result: 8.0 content pages, no claim orphaned outside tier 1. ## Output format ```text [Tier map] tier -> justified?> [Orphaned claims] [Gloss budget] [Limitations audit] [Archive sweep] clean / findings ```