AI Clerk Platform : Information Extraction DIY Platform

Ru-Yng Chang, Wen-Lun Chen, Cheng-Ju Kao


Abstract
Information extraction is a core technology of natural language processing, which extracts some meaningful phrases/clauses from unstructured or semistructured content to a particular topic. It can be said to be the core technology of many language technologies and applications. This paper introduces AI Clerk Platform, which aims to accelerate and improve the entire process and convenience of the development of information extraction tools. AI Clerk Platform provides a friendly and intuitive visualized manual labeling interface, sets suitable semantic label in need, and implements, distributes and controls manual labeling tasks, so that users can complete customized information extraction models without programming and view the automatically predict results of models by three method. AI Clerk Platform further assists in the development of other natural language processing technologies and the derivation of application services.
Anthology ID:
2021.rocling-1.4
Volume:
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
Month:
October
Year:
2021
Address:
Taoyuan, Taiwan
Editors:
Lung-Hao Lee, Chia-Hui Chang, Kuan-Yu Chen
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
26–32
Language:
URL:
https://aclanthology.org/2021.rocling-1.4
DOI:
Bibkey:
Cite (ACL):
Ru-Yng Chang, Wen-Lun Chen, and Cheng-Ju Kao. 2021. AI Clerk Platform : Information Extraction DIY Platform. In Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), pages 26–32, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
AI Clerk Platform : Information Extraction DIY Platform (Chang et al., ROCLING 2021)
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PDF:
https://preview.aclanthology.org/autopr/2021.rocling-1.4.pdf