DC电路领域特定语料库

本研究创建了一个名为‘DC电路领域特定语料库’的数据集，用于评估和改进特定领域的文本到知识映射原型。该数据集包含1029条句子，共计18,834个单词，主要来源于网络资源，专注于物理学中的直流电路领域。数据集的创建过程涉及手动收集和注释，包括词性标注、短语结构注释和词干标注等。此数据集的应用领域主要集中在自然语言处理系统中，旨在通过提高词汇和语法结构的丰富性，增强原型在解析领域特定文本中的能力，从而优化知识表示和信息检索。

This study constructs a dataset named "DC Circuit Domain-Specific Corpus" for evaluating and improving prototype text-to-knowledge mapping systems targeting specific domains. Comprising 1,029 sentences with a total of 18,834 words, the dataset is primarily sourced from web resources and focuses on the direct current (DC) circuit domain within the field of physics. The creation of this dataset involves manual collection and annotation, including part-of-speech tagging, phrase structure annotation, and stem annotation, among other steps. This dataset is primarily applied in natural language processing (NLP) systems, aiming to enhance the prototype's capacity to parse domain-specific texts by improving the richness of vocabulary and grammatical structures, thereby optimizing knowledge representation and information retrieval.