Chieh-Jen Wang


2022

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Language Model Based Chinese Handwriting Address Recognition
Chieh-Jen Wang | Yung-Ping Tien | Yun-Wei Hung
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)

Chinese handwritten address recognition of consignment note is an important challenge of smart logistics automation. Chinese handwritten characters detection and recognition is the key technology for this application. Since the writing mode of handwritten characters is more complex and diverse than printed characters, it is easy misjudgment for recognition. Moreover, the address text occupies a small proportion in the image of the consignment note and arranged closely, which is easy to cause difficulties in detection. Therefore, how to detect the address text on the consignment note accurately is a focus of this paper. The consignment note address automatic detection and recognition system proposed in this paper detects and recognizes address characters, reduces the probability of misjudgment of Chinese handwriting recognition through language model, and improves the accuracy.

2015

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運用關聯分析探勘民眾關注議題與發展方向:以環保議題為例(Mining Issues of Public Concern by Association Analysis: Using Environmental Issue as an Example)[In Chinese]
Chieh-Jen Wang | Min-Hsin Shen
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)

2012

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NTUSocialRec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks
Chieh-Jen Wang | Shuk-Man Cheng | Lung-Hao Lee | Hsin-Hsi Chen | Wen-shen Liu | Pei-Wen Huang | Shih-Peng Lin
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems. We extract the relationships among three main entities in a recommendation event, i.e., who recommends what to whom. User-to-user friend relationships and user-to-resource interesting relationships in social media and resource-to-metadata descriptions in an external ontology are employed. In the experiments, the resources are restricted to visual entertainment media, movies in particular. A sequence of ground truths varying with time is generated. That reflects the dynamic of real world.

2011

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Intent Shift Detection Using Search Query Logs
Chieh-Jen Wang | Hsin-Hsi Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011