The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool

no code implementations • 11 Aug 2018 • Tsung-Ting Kuo, Jina Huh, Ji-Hoon Kim, Robert El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu

Our study introduces CLEAN (CLinical note rEview and ANnotation), a pre-annotation-based cNLP annotation system to improve clinical note annotation of data elements, and comprehensively compares CLEAN with the widely-used annotation system Brat Rapid Annotation Tool (BRAT).

Open-Ended Question Answering

Enriching Cold Start Personalized Language Model Using Social Network Information

no code implementations • ROCLINGIJCLCLP 2016 • Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin

Information Retrieval Language Modelling

Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks

no code implementations • ACL 2012 • Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin

利用機器學習於中文法律文件之標記、案件分類及量刑預測 (Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction) [In Chinese]

no code implementations • ROCLINGIJCLCLP 2012 • Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-De Lin

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation

no code implementations • 1 Nov 2023 • Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin

We point out several challenges in applying the existing CF-models to build a course recommendation engine, including the lack of rating and meta-data, the imbalance of course registration distribution, and the demand of course dependency modeling.

Collaborative Filtering Recommendation Systems