USPTO Patent Prosecution Research Data: Unlocking Office Action Traits
USPTO Patent Prosecution Research Data: Unlocking Office Action Traits
复制标题
DOI：
10.2139/ssrn.3024621
复制
发表时间：
2017-11
期刊：
影响因子：
--
通讯作者：
Qiang Lu;Amanda F. Myers;Scott Beliveau
中科院分区：
文献类型：
--
作者：
Qiang Lu;Amanda F. Myers;Scott Beliveau
美国专利商标局（USPTO）的专利行动研究数据集的发布标志着审查员发布的拒绝的综合数据第一次可以随时向研究界提供。“专利局诉讼”是向申请人发出的关于审查员对可专利性决定的书面通知，通常会披露信息，例如拒绝的理由、受影响的权利要求和相关的现有技术。由于办公室的行动相对难以获得，而且需要付出相当大的努力才能从中获得有意义的数据，这在很大程度上阻碍了研究人员充分利用这些宝贵的资料。我们的目标是通过使用自然语言处理和机器学习技术系统地从Office操作中提取信息，并构建关键数据元素的关系数据库来纠正这种情况。本文描述了我们的方法，并提供了主要数据文件和变量的概述。该数据由三个文件组成，这些文件来自2008年至2017年年中期间USPTO审查员邮寄给220万份独特专利申请申请人的440万份办公室诉讼。
Release of the United States Patent and Trademark Office (USPTO) Office Action Research Dataset for Patents marks the first time that comprehensive data on examiner-issued rejections are readily available to the research community. An “Office action” is a written notification to the applicant of the examiner’s decision on patentability and generally discloses information, such as the grounds for a rejection, the claims affected, and the pertinent prior art. The relative inaccessibility of Office actions and the considerable effort required to obtain meaningful data therefrom has largely prevented researchers from fully exploiting this valuable information. We aim to rectify this situation by using natural language processing and machine learning techniques to systematically extract information from Office actions and construct a relational database of key data elements. This paper describes our methods and provides an overview of the main data files and variables. This data release consists of three files derived from 4.4 million Office actions mailed during the 2008 to mid-2017 period from USPTO examiners to the applicants of 2.2 million unique patent applications.