BriefGPT.xyz
Dec, 2022
利用经过优化的大型语言模型从复杂的科技文本中提取结构化信息
Structured information extraction from complex scientific text with fine-tuned large language models
HTML
PDF
Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen...
TL;DR
通过预先训练的语言模型 GPT-3,我们提出了一种简单的序列到序列方法来联合提取科学文本中的复杂层次信息的命名实体识别和关系抽取,并证明了这种方式能够准确提取复杂科学知识的有用记录。
Abstract
Intelligently extracting and linking complex
scientific information
from
unstructured text
is a challenging endeavor particularly for those inexperienced with natural language processing. Here, we present a simpl
→