基于嵌入的科技文献发现在文本编辑器中的应用
Embedding-based Scientific Literature Discovery in a Text Editor Application
摘要：
研究论文中的每一个主张都需要发现、吸收和适当引用所有相关的先验知识。然而，尽管有强大的搜索引擎和复杂的文本编辑软件，发现相关的论文和整合的知识到手稿仍然是复杂的任务与高认知负荷。定义全面的搜索查询需要作者的强烈动机，无论他们熟悉的研究领域。此外，在文献发现、书目管理、阅读论文和撰写文本的独立应用程序之间切换，进一步加重了作者的负担，并中断了他们的创作过程。在这里，我们提出了一个Web应用程序，结合了文本编辑和文献发现在一个交互式的用户界面。该应用程序配备了一个搜索引擎，它将布尔关键字过滤与文本嵌入上的最近邻搜索相结合，提供了一种针对作者手稿及其兴趣的发现体验。我们的申请旨在向更愉快和轻松的学术写作迈出一步。该应用程序的演示（https：//SciEditorDemo2020.herokuapp.com/）和简短的视频教程（https：//youtu.be/pkdVU60IcRc）可在线获得。
英文摘要：
Each claim in a research paper requires all relevant prior knowledge to be discovered, assimilated, and appropriately cited. However, despite the availability of powerful search engines and sophisticated text editing software, discovering relevant papers and integrating the knowledge into a manuscript remain complex tasks associated with high cognitive load. To define comprehensive search queries requires strong motivation from authors, irrespective of their familiarity with the research field. Moreover, switching between independent applications for literature discovery, bibliography management, reading papers, and writing text burdens authors further and interrupts their creative process. Here, we present a web application that combines text editing and literature discovery in an interactive user interface. The application is equipped with a search engine that couples Boolean keyword filtering with nearest neighbor search over text embeddings, providing a discovery experience tuned to an author's manuscript and his interests. Our application aims to take a step towards more enjoyable and effortless academic writing. The demo of the application (https://SciEditorDemo2020.herokuapp.com/) and a short video tutorial (https://youtu.be/pkdVU60IcRc) are available online.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
