NLP-SEA 2021研讨会总结

S. Anwar, Abdul Rauf, M. Ramzan, Imran Razzak, Mehrdad Saadatmad
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引用次数: 0

摘要

自然语言处理(NLP)的固有优势和能力,如主题建模、内容分类、上下文提取、情感分析和文本-语音转换,有助于快速增长。与此同时,这种快速增长给软件开发工程师带来了技术和管理层面上的许多挑战。NLP已经改变了我们与计算机交互的方式,未来还会继续改变。这些主要基于人工智能(AI)和机器学习(ML)的技术将成为从数据驱动向智能驱动转变的潜在力量,因为它们将在未来几年塑造和改善通信技术。在软件工程领域,通过将NLP技术与人工智能结合使用,文献和研究团体正在观察同样的技术进步。因此,NLP-SEA(软件工程自动化:自然语言视角)系列研讨会是在这个方向上促进知识进步和进一步发展的一种手段。本次研讨会的重点是为学术界和工业界的研究人员和实践者提供一个机会,以提供与自动化软件和系统工程领域中NLP应用相关的各个方面的不同但重要的研究贡献。
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NLP-SEA 2021 Workshop Summary
Inherent strengths and capabilities in Natural Language Processing (NLP), such as topics modeling, content categorization, context extraction, sentiment analysis, and text-speech conversion, have helped in rapid growth. At the same time, this rapid growth has led to numerous challenges for software development engineers both on a technical and managerial level. NLP has changed the way we interact with computers, and it'll continue doing so in the future. These technologies, mainly based on artificial intelligence (AI) and Machine Learning (ML), would be the underlying force for transformation from data-driven to intelligence-driven endeavors, as they shape and improve communication technology in the years to come. The literature and research communities are observing the same technological advancements in the domain of software engineering introduced by the use of NLP techniques in conjunction with Artificial Intelligence. Thus, the NLP-SEA (Software Engineering Automation: A Natural Language Perspective) series of workshops is a means to contribute to the advancement and furthering of knowledge in this direction. The focus of this workshop is to provide an opportunity for the researchers and practitioners in academia and industry to provide a diverse, but significant body of research contributions on every aspect related to the application of NLP in the automated software and system engineering domain.
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