について Semantic Scholar
Semantic Scholar は、Allen Institute for AI によって開発された無料の学術検索エンジンで、AI 技術を活用して研究者が関連論文を迅速に見つけるのを支援します。キーワード検索だけでなく、論文の意味内容を理解し、真に関連性のある研究を推薦します。論文の影響力指標、引用関係、研究トレンドを表示します。論文の要約や主要な図表の抽出などの機能を提供します。コンピュータサイエンス、生物医学など複数の分野をカバーし、学術研究の強力なアシスタントです。
タグ
#研究#学術的#論文#ai
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Semantic Scholar Core Features
Semantic Search — Uses natural language processing to understand the meaning of queries, returning more relevant results than keyword-based search.
Paper Recommendations — Provides personalized paper recommendations based on your reading history and citations, helping you discover related research.
Citation Graphs — Visualizes citation networks to show how papers influence each other, making it easy to trace the evolution of ideas.
TLDRs (Too Long; Didn't Read) — Generates concise one-sentence summaries for many papers, allowing quick assessment of relevance.
Influential Citations — Highlights citations that have significantly impacted a paper, helping identify key works in a field.
API Access — Offers a free API for developers to integrate Semantic Scholar data into their own applications.
Research Feeds — Allows users to follow specific topics or authors and receive updates on new papers in their area of interest.
Semantic Scholar Subscription Plan
Free
$0
- Unlimited searches
- Access to all core features
- Personalized recommendations
- API access with rate limits
