协同人工智能:基于协作的抽象识别工具

2021 IEEE 29th International Requirements Engineering Conference (RE) Pub Date : 2021-09-01 DOI:10.1109/RE51729.2021.00050

Zedong Peng, Nan Niu

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引用次数: 2

摘要

抽象识别的目的是发现重要的领域术语。先前的工作，特别是AbstFinder和RAI(关联驱动的抽象识别)，已经介绍了核心思想，但只提供了有限的工具支持。本文介绍了我们的抽象识别工具，Co-AI，它建立在Google Colab环境上，允许用户在他们的web浏览器中运行该工具，促进了工具的采用和扩展。Co-AI将维基百科页面集成为领域语料库，并使用一组自然语言处理(NLP)模式识别候选抽象。Co-AI可在:https://colab.research.google.com/drive/1ur5KILoi_n-3KY0_vJcMBQDtiSYgcYeP?usp=sharing获得，我们欢迎社区对我们的工具的反馈。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Co-AI: A Colab-Based Tool for Abstraction Identification

Abstraction identification is aimed at discovering significant domain terms. Prior work, notably AbstFinder and RAI (relevance-driven abstraction identification), has introduced the core ideas, but offered only limited tool support. This paper presents our abstraction identification tool, Co-AI, built on the Google Colab environment allowing the users to run the tool within their web browsers, promoting tool adoption and extension. Co-AI integrates the Wikipedia pages as the domain corpus, and identifies the candidate abstractions with a set of natural language processing (NLP) patterns. Co-AI is available at: https://colab.research.google.com/drive/1ur5KILoi_n-3KY0_vJcMBQDtiSYgcYeP?usp=sharing and we welcome the community’s feedback of our tool.

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2021 IEEE 29th International Requirements Engineering Conference (RE)

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