文本定制结构化解析

基于OCR识别结果和深度学习自然语言理解技术，分析出文本中的单位主体及属性、受众客体及属性、主客体关系等，形成定制结构化信息。生成的结构化信息经过存储后，可以为用户提供结构化检索、文本关联分析、相似文本推荐、知识图谱等功能，丰富用户获取信息的渠道，提高获取信息的精准性。Based on OCR recognition results and deep learning-based natural language understanding technologies, this dataset analyzes subject entities and their attributes, audience objects and their attributes, and the relationships between subjects and objects in the text to generate customized structured information. Once the generated structured information is stored, it can provide users with functions including structured retrieval, text correlation analysis, similar text recommendation, and knowledge graphs, thereby enriching users' access to information and improving the accuracy of information acquisition.

搜集汇总

背景与挑战

背景概述

该数据集利用OCR识别和深度学习自然语言理解技术，从文本中提取单位主体、受众客体及其属性和关系，生成定制结构化信息。这些结构化数据支持结构化检索、文本关联分析、相似文本推荐和知识图谱等功能，有助于拓宽信息获取途径并提升信息检索的精确度。