Semantic Scholar 是由 Allen Institute for AI 開發的免費學術搜尋引擎,使用 AI 技術幫助研究人員快速找到相關論文。不僅提供關鍵詞搜尋,還能理解論文的語義內容,推薦真正相關的研究。顯示論文的影響力指標、引用關係和研究趨勢。提供論文摘要、關鍵圖表提取等功能。覆蓋計算機科學、生物醫學等多個領域,是學術研究的強大助手。
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#研究#學術#論文#ai
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Semantic Scholar 核心功能
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.