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arXiv 2007.13520cs.DLcs.CLcs.IRcs.LGcs.SI
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识别、追踪和影响:理解流行语的商业秘密

Identification, Tracking and Impact: Understanding the trade secret of catchphrases

IIT Kharagpur(印度理工学院卡拉格普尔分校);IIT Gandhinagar(印度理工学院甘地讷格尔分校);Data61, CSIRO(澳大利亚联邦科学与工业研究组织 Data61);Cyber Security CRC(网络安全合作研究中心);TCS Innovation Labs(塔塔咨询服务创新实验室)

Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee

摘要:

理解产业创新的主题演变是一个具有挑战性的问题。随着专利文件形式的数字知识库的发展,了解组织的“口号”-创新秘密变得越来越可行。然而,搜索和理解这些巨大的文本信息是一个天然的瓶颈。在本文中,我们提出了一种无监督的方法,用于从美国专利商标局多年来授予的专利摘要中提取流行语。我们提出的系统实现了实质性的改善,无论是在精度和召回率方面,对国家的最先进的技术。作为第二个目标,我们进行了广泛的实证研究,以了解不同组织的流行语的时间演变。我们还展示了如何在一个组织的专利中引入新的流行语的形式的整体创新演变与该组织提交的专利所收到的未来引用相关。我们的代码和数据集将很快被置于公共领域。

英文摘要:

Understanding the topical evolution in industrial innovation is a challenging problem. With the advancement in the digital repositories in the form of patent documents, it is becoming increasingly more feasible to understand the innovation secrets -- "catchphrases" of organizations. However, searching and understanding this enormous textual information is a natural bottleneck. In this paper, we propose an unsupervised method for the extraction of catchphrases from the abstracts of patents granted by the U.S. Patent and Trademark Office over the years. Our proposed system achieves substantial improvement, both in terms of precision and recall, against state-of-the-art techniques. As a second objective, we conduct an extensive empirical study to understand the temporal evolution of the catchphrases across various organizations. We also show how the overall innovation evolution in the form of introduction of newer catchphrases in an organization's patents correlates with the future citations received by the patents filed by that organization. Our code and data sets will be placed in the public domain soon.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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