Robotics & Machine Learning Daily News2024,Issue(Dec.9) :199-203.

'System And Methods For Accelerating Natural Language Processing Via Integration Of Case-Specific And General Knowledge' in Patent Application Approval Process (USPTO 20240386042)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :199-203.

'System And Methods For Accelerating Natural Language Processing Via Integration Of Case-Specific And General Knowledge' in Patent Application Approval Process (USPTO 20240386042)

扫码查看

Abstract

The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Legal document review is a labor-intensive and time-consuming process that involves manualtagging of documents by human review ers. Modern machine learning-based solutions, such as TechnologyAssisted Review (TAR) and Continuous Active Learning (CAL), require human reviewers to tag docu mentsas examples for the machine to learn from. This process demands extensive time and resources and cantake days, weeks, or months to complete. Further, the process can cost millions of dollars.

Key words

Business/Cyborgs/Emerging Technologies/LAER AI Inc./Machine Learning/Natural Language Processing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文