EACL Topic Selection
SkillDev toolsUse when deciding whether a project is EACL-shaped or better routed to ACL, EMNLP, NAACL, AACL, TACL, Computational Linguistics, LREC-COLING, COLM, or an ML venue, covering the long-versus-short choice, the accept-Findings calculus, and how EACL's single ARR cycle and irregular cadence affect the routing decision.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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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 Topic Selection 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-topic-selection/SKILL.md and read by ahel’s review.
Use this before committing effort to route a project to the right venue. EACL is the ACL's European Chapter meeting — all of CL/NLP is in scope, with a community and location that make it a natural home for multilingual and lower-resourced-language work — but "could go to EACL" and "is best at EACL" are different questions. Decide by fit, timing, and the alternatives.
Is it EACL-shaped?
Strong EACL fits share a profile:
- A well-scoped NLP question answered with careful, often multilingual, controls.
- Analysis, critique, resources, or evaluation-integrity contributions are welcome, not only
new systems — EACL best papers routinely go to these (see
../../resources/exemplars/library.md). - Work on European and neighbouring-region languages or lower-resourced settings has a receptive audience, though topical scope is not region-restricted.
Route-elsewhere signals
| Signal | Better venue |
|---|---|
| Flagship-scale result wanting the largest audience | ACL |
| Empirical-methods framing, autumn timeline | EMNLP |
| North-American-hosted edition timing fits better | NAACL |
| Asia-Pacific community/timing fits better | AACL |
| Polished journal-length result, no page pressure | TACL or Computational Linguistics |
| Language-resource / corpus / multilingual dataset paper | LREC-COLING |
| Language-model-centric contribution | COLM |
| Core-ML method with NLP as one application | an ML venue (NeurIPS/ICML/ICLR) |
Timing dominates the decision for EACL
- EACL draws from a single ARR cycle with no fallback (August 2026 for EACL 2027) and runs on an irregular cadence. So routing is not only about fit: if the one cycle does not fit your timeline, a sibling venue with a nearer cycle may be the rational choice even for an EACL-shaped paper.
- Conversely, if the cycle fits and the paper is EACL-shaped, the early-spring slot gets your result out ahead of the summer/autumn venues.
Long vs short
Choose short (4 pages) when:
- one clean claim with decisive evidence
- a focused analysis, resource, or negative result
Choose long (8 pages) when:
- multiple contributions or a method needing full development
- breadth (many languages/tasks) is itself the argument
A short idea padded to long reads as thin; a long idea cut to short reads as incomplete.
The accept-Findings calculus
- Findings of ACL: EACL is archival and Anthology-published. Accept it when the work is solid but not top-tier for the main track and you value a timely, citable record; push for main or re-route when main-conference visibility is essential and the reviews support it.
- Because there is no next EACL cycle to retry, weigh a Findings offer against the real alternative (a different conference months later), not against an imaginary next EACL round.
Output format
[EACL fit] Strong / Marginal / Poor
[Why] <scope + community + contribution-type reasons>
[Timing check] <does the single ARR cycle fit? fallback venue if not>
[Better venue if any] <ACL/EMNLP/NAACL/AACL/TACL/CL/LREC-COLING/COLM/ML>
[Long vs short] <recommendation>
[Findings stance] <accept / push-for-main / re-route>
Signals
- GitHub stars
- 1k
- Forks
- 155
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
eacl-topic-selection- Source
- github.com/brycewang-stanford/awesome-journal-skills
github.com/brycewang-stanford/awesome-journal-skills
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