Scientific writing involves retrieving, summarizing, and citing relevant
papers, which can be time-consuming processes in large and rapidly evolving
fields. By making these processes inter-operable, natural language processing
(NLP) provides opportunities for creating end-to-end assistive writing tools.
We propose SciLit, a pipeline that automatically recommends relevant papers,
extracts highlights, and suggests a reference sentence as a citation of a
paper, taking into consideration the user-provided context and keywords. SciLit
efficiently recommends papers from large databases of hundreds of millions of
papers using a two-stage pre-fetching and re-ranking literature search system
that flexibly deals with addition and removal of a paper database. We provide a
convenient user interface that displays the recommended papers as extractive
summaries and that offers abstractively-generated citing sentences which are
aligned with the provided context and which mention the chosen keyword(s). Our
assistive tool for literature discovery and scientific writing is available at
this https URL

SciLit 是一个自动推荐相关论文、提取摘要、 建议引文的流水线，可提供文学发现和科学写作的辅助工具。