conference-on-empirical-methods-in-natural-language-processing
Use when targeting Conference on Empirical Methods in Natural Language Processing (EMNLP) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for NLP flagship.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conference-on-empirical-methods-in-natural-language-processing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Conference on Empirical Methods in Natural Language Processing (EMNLP) ## Conference positioning Conference on Empirical Methods in Natural Language Processing (EMNLP) is a top computer-science conference venue for empirical NLP, language model evaluation, generation, information extraction, multilingual NLP, and applied language systems. It rewards an empirically strong NLP paper with robust baselines, error analysis, and transparent evaluation. Treat this skill as a **fit / venue-selection / re-framing** tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal. Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in `../../resources/conference-roster.md` and `../../resources/official-source-map.md`. ## When to trigger - The author names EMNLP / Conference on Empirical Methods in Natural Language Processing as the target venue. - A manuscript in empirical
- Conference positioning
- When to trigger
- Scope & topic fit
- Venue-specific calibration
- Close-neighbor routing guardrail
- EMNLP-specific routing detail
- Method & evidence bar
- Structure & house style
- Official-cycle checklist
- Pre-submission self-check
- Common desk-reject triggers
- Re-routing decision
- Output format
What does the conference-on-empirical-methods-in-natural-language-processing skill do?
Use when targeting Conference on Empirical Methods in Natural Language Processing (EMNLP) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for NLP flagship.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conference-on-empirical-methods-in-natural-language-processing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.