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NLP Dialogue Summarization

Category: Science & Research  ·  Sub-category: science-misc  ·  Last updated:
ai:llm
Complete NLP pipeline for Korean dialogue summarization tasks using HuggingFace Transformers + Hydra + WandB. Use this skill whenever the user needs to (1) build or extend a dialogue summarization pipeline (seq2seq, encoder-decoder), (2) fine-tune BART/T5/PEGASUS or other generation models on Korean conversation data, (3) preprocess multi-turn dialogue datasets with special tokens, (4) evaluate summarization quality with ROUGE metrics using morpheme-based tokenization for Korean, (5) run inference and generate submission files for competition, (6) experiment with model selection, hyperparameter tuning, or ensemble strategies for NLP generation tasks, or (7) run hyperparameter sweeps and multi-run experiments with Hydra. Always use this skill when the user mentions 대화 요약, DialogSum, BART fine-tuning, seq2seq training, ROUGE evaluation, KoBART, Hydra sweep, or any Korean NLP summarization competition.

From the source SKILL.md

HuggingFace Transformers 기반 한국어 대화 요약 end-to-end 파이프라인. 대회 베이스라인(KoBART + Seq2SeqTrainer + WandB)을 기준으로 Hydra를 통한 실험 관리를 지원합니다.

What this skill does

NLP Dialogue Summarization is a community-contributed Claude Code skill in the science-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/nlp-dialogue-summarization/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The NLP Dialogue Summarization Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 117,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/nlp-dialogue-summarization
curl -L https://claudskills.com/skills/nlp-dialogue-summarization/SKILL.md \
  -o ~/.claude/skills/nlp-dialogue-summarization/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/nlp-dialogue-summarization/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/nlp-dialogue-summarization/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\nlp-dialogue-summarization\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the NLP Dialogue Summarization Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/nlp-dialogue-summarization/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the NLP Dialogue Summarization skill do?
Complete NLP pipeline for Korean dialogue summarization tasks using HuggingFace Transformers + Hydra + WandB. Use this skill whenever the user needs to (1) build or extend a dialogue summarization pipeline (seq2seq, encoder-decoder), (2) fine-tune BART/T5/PEGASUS or other generation models on Korean conversation data, (3) preprocess multi-turn dialogue datasets with special tokens, (4) evaluate summarization quality with ROUGE metrics using morpheme-based tokenization for Korean, (5) run inference and generate submission files for competition, (6) experiment with model selection, hyperparameter tuning, or ensemble strategies for NLP generation tasks, or (7) run hyperparameter sweeps and multi-run experiments with Hydra. Always use this skill when the user mentions 대화 요약, DialogSum, BART fine-tuning, seq2seq training, ROUGE evaluation, KoBART, Hydra sweep, or any Korean NLP summarization competition.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the NLP Dialogue Summarization skill?
Use NLP Dialogue Summarization when your Claude Code task falls under the Science & Research category — specifically in the science misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use NLP Dialogue Summarization" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the NLP Dialogue Summarization skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. NLP Dialogue Summarization is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
WanYoung-Oh. (2026). NLP Dialogue Summarization [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/nlp-dialogue-summarization/
BibTeX
@misc{nlp-dialogue-summarization-2026,
  author    = {WanYoung-Oh},
  title     = {NLP Dialogue Summarization [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/nlp-dialogue-summarization/}
}

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