关于 Semantic Scholar
Semantic Scholar 是由艾伦人工智能研究所开发的一款免费学术搜索引擎，利用人工智能技术帮助研究人员快速找到相关论文。它不仅提供关键词搜索，还能理解论文的语义内容，推荐真正相关的研究。它展示论文的影响力指标、引用关系和研究趋势。提供论文摘要和关键图表提取等功能。涵盖计算机科学和生物医学等多个领域，是学术研究的得力助手。
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#研究#学术#论文#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.
Semantic Scholar 订阅计划
Free
$0
- Unlimited searches
- Access to all core features
- Personalized recommendations
- API access with rate limits
