Skills

Acl Topic Selection

Use when deciding whether a project fits ACL versus EMNLP, NAACL, EACL, TACL...

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-topic-selection -g -a claude-code -y
Category
Data and ML
Updated
1mo ago
License
MIT
Context cost
Mediumabout 1,536 tokens
Runs scripts
No, instructions only

What it does

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.

ACL Topic Selection

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.

What ACL rewards

  • A contribution about language: modeling it, measuring it, resourcing it, or explaining how systems process it, with the linguistic question visible, not incidental.
  • Typed contributions reviewers can classify fast: method, resource, evaluation/metric, analysis, theory, or position. Papers that are half method and half unvalidated resource read as neither.
  • Evidence proportional to breadth (see acl-experiments) and an error analysis that says something about language, not just scores.
  • Work engaging the current field conversation, for ACL 2026, the special theme was explainability of NLP models, with a dedicated Thematic Paper Award; each edition names its own theme.

Family routing

SignalBetter home
Core NLP contribution, broad audience, strongest possible reviews wantedACL (or whichever *ACL your ARR package is eligible to commit to)
Empirical, engineering-forward NLP; dense experimental papersEMNLP, historically the empirical sibling, same ARR pipeline
Regional relevance, or timing fits its cycle windowsNAACL / EACL / AACL
Needs >9 pages, revision-based journal reviewing, no conference clockTACL (journal, also Anthology-published)
Survey-scale or theoretical linguistics depthComputational Linguistics (journal)
LLM-centric work thin on language questionsCOLM or an ML venue (NeurIPS/ICML/ICLR)
Deployed-system lessons, product constraintsACL industry track, separate CFP and deadlines
Early-stage, student-ledACL Student Research Workshop
Read the whole SKILL.md on GitHub

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