一句话：提出 WikiDoMiner，通过从需求规约提取领域关键词并检索 Wikipedia，自动构建领域特定语料库。
领域特定数据集稀缺，而需求工程任务常需与给定需求规约（RS）领域匹配的外部知识资源。WikiDoMiner 首先从 RS 中抽取一组领域特定关键词，再以这些关键词查询 Wikipedia，最终输出一组与输入 RS 领域相关的 Wikipedia 文章构成的语料库。该工具可支持歧义处理、需求分类、问答等需求工程任务。摘要未报告实验评估，工具已在 Zenodo 上以开源许可公开。
We introduce WikiDoMiner – a tool for automatically generating domain-specific corpora by crawling Wikipedia. WikiDoMiner helps requirements engineers create an external knowledge resource that is specific to the underlying domain of a given requirements specification (RS). Being able to build such a resource is important since domain-specific datasets are scarce. WikiDoMiner generates a corpus by first extracting a set of domain-specific keywords from a given RS, and then querying Wikipedia for these keywords. The output of WikiDoMiner is a set of Wikipedia articles relevant to the domain of the input RS. Mining Wikipedia for domain-specific knowledge can be beneficial for multiple requirements engineering tasks, e.g., ambiguity handling, requirements classification, and question answering. WikiDoMiner is publicly available on Zenodo under an open-source license (https: //doi.org/10.5281/zenodo.6672682)