US 11,704,489 B2
Document-based requirements extraction
Wan Wan Miao, Ningbo (CN); Sheng Hui Zhan, Ningbo (CN); Zhi Lin Hu, Ningbo (CN); Shu Xia Cao, Beijing (CN); Jian Hui Chen, Ningbo (CN); and Tao Liu, Dublin, OH (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jun. 30, 2020, as Appl. No. 16/917,138.
Prior Publication US 2021/0406466 A1, Dec. 30, 2021
Int. Cl. G06F 40/279 (2020.01); G06N 20/00 (2019.01)
CPC G06F 40/279 (2020.01) [G06N 20/00 (2019.01)] 14 Claims
OG exemplary drawing
 
1. A computer-implemented method of identifying requirements in a document, comprising:
receiving the document;
identifying component information in the document using a component model;
identifying attribute related information in the document using an attribute model, wherein the attribute model is a machine learning model that is trained using training documents;
merging the component information and the attribute related information identified in the document;
identifying the requirements in the document from the merged component information and attribute related information; and
using the requirements identified in the document to produce a product, wherein the component model is a domain-specific model that is applicable for a specific domain; and the attribute model is a common model that is applicable for all domains; wherein a domain model comprises the component model and the attribute model, and wherein the domain model is continuously improved by user feedback and self-learning.