Agent skill · Data & Analytics

emnlp-related-work

Use when positioning an EMNLP submission inside NLP's fast-moving literature — covering ACL Anthology lineages and arXiv concurrency, citing Findings and workshop papers correctly, tracing dataset and benchmark ancestry, verifying every reference resolves under the hallucinated-citation policy, and keeping self-citation double-blind.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-related-work --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: EMNLP-Skills/skills/emnlp-related-work/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# EMNLP Related Work Use this to audit positioning and citation hygiene. NLP's literature moves faster than any reviewing cycle: between your ARR submission and the meta-review, the arXiv neighborhood of your paper will visibly change. EMNLP reviewers know this and calibrate — what they do not forgive is missing the lineage that existed *before* you submitted, or citing papers that do not exist. ## The lineage obligations An EMNLP related-work section owes coverage on distinct axes: | Axis | The reviewer's question | Where to check | |---|---|---| | Task lineage | Who defined and reshaped this task? | ACL Anthology back through renamings | | Dataset ancestry | What data does your benchmark descend from or contain? | Dataset papers + their own provenance sections | | Method neighbors | Which current approaches would contest your comparison table? | Last 2-3 years of ACL-family venues + arXiv | | Evaluation critique | Has this metric or protocol been critiqued? | The methodology literature this venue itself publishes | | Adjacent fields | Does IR / speech / ML own part of this idea? | Cross-community search before claiming firsts | Dataset ancestry is the EMNLP-specific trap: benchma

What's inside
Steps it walks through
  1. The lineage obligations
  2. Anthology-status literacy
  3. Concurrency etiquette
  4. The hallucination gate
  5. Positioning prose that works here
  6. Prior versions of your own work
  7. Freshness without churn-chasing
  8. Two vocabularies, one section
  9. Output format
Commands it runs
Every entry must resolve to a real, checkable identifier
grep -Eo 'doi\.org/[^ ,}]+|aclanthology\.org/[^ ,}]+|arxiv\.org/abs/[0-9.]+' refs.bib \
Red flags: plausible title + plausible authors + no findable venue = fabrication
More from Awesome-Journal-Skills
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About this skill
What does the emnlp-related-work skill do?

Use when positioning an EMNLP submission inside NLP's fast-moving literature — covering ACL Anthology lineages and arXiv concurrency, citing Findings and workshop papers correctly, tracing dataset and benchmark ancestry, verifying every reference resolves under the hallucinated-citation policy, and keeping self-citation double-blind.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-related-work --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.

Keep going