Install any skill in seconds. Free to start, no credit card required.
Get Started Free →brycewang-stanford/acl-topic-selection
Use when deciding whether a project fits ACL versus EMNLP, NAACL, EACL, TACL, Computational Linguistics, COLM, or an ML venue, covering contribution typing for NLP work, long-versus-short paper choice, the annual theme track, Findings-tier expectations, and sharpening the computational-linguistics framing before writing starts.
Passed 17 of 22 test cases with the skill, and 13 of 22 without it.
and 1 more in the full report
4 fixed13 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our team created a manually annotated benchmark of morphosyntactic errors in low-resource Bantu languages, accompanied by a diagnostic evaluation suite. We are deciding whether this fits the main ACL program or another conference. Could you assess this project idea and generate a venue fit rating, contribution classification, suggested submission format, a single-sentence claim statement centered on the linguistic focus, a scoop vulnerability check, and an explicit submission routing decision with potential fallbacks?
| Checked | Without skill | With skill |
|---|---|---|
| The output includes the bracketed label tag [Contribution type]. | Missed | Passed |
| The response classifies the paper as a resource contribution. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this before the first draft. ACL is the flagship of the *ACL family: broadest scope across computational linguistics and NLP, the most competitive main-program bar, and — under ACL Rolling Review — a venue choice you finalize at commitment time, which gives topic strategy an unusual second chance.
acl-experiments) and an error
analysis that says something about language, not just scores.| Signal | Better home |
|---|---|
| Core NLP contribution, broad audience, strongest possible reviews wanted | ACL (or whichever *ACL your ARR package is eligible to commit to) |
| Empirical, engineering-forward NLP; dense experimental papers | EMNLP — historically the empirical sibling, same ARR pipeline |
| Regional relevance, or timing fits its cycle windows | NAACL / EACL / AACL |
| Needs >9 pages, revision-based journal reviewing, no conference clock | TACL (journal, also Anthology-published) |
| Survey-scale or theoretical linguistics depth | Computational Linguistics (journal) |
| LLM-centric work thin on language questions | COLM or an ML venue (NeurIPS/ICML/ICLR) |
| Deployed-system lessons, product constraints | ACL industry track — separate CFP and deadlines |
| Early-stage, student-led | ACL Student Research Workshop |
Because commitment is decoupled, "ACL vs EMNLP" is often not a submission-time decision: submit to ARR when ready, then commit to the conference whose window and bar the finished package fits.
test cases passed, vs 13 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.