Web: http://arxiv.org/abs/2205.05270

May 12, 2022, 1:10 a.m. | Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao

cs.CL updates on arXiv.org arxiv.org

Extracting relational triples from unstructured text is an essential task in
natural language processing and knowledge graph construction. Existing
approaches usually contain two fundamental steps: (1) finding the boundary
positions of head and tail entities; (2) concatenating specific tokens to form
triples. However, nearly all previous methods suffer from the problem of error
accumulation, i.e., the boundary recognition error of each entity in step (1)
will be accumulated into the final combined triples. To solve the problem, in
this paper, …

arxiv extraction

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC