CoTel: Ontology-Neural Co-Enhanced Text Labeling

Author:

Song Miao-Hui1ORCID,Zhang Lan2ORCID,Yuan Mu1ORCID,Li Zichong1ORCID,Song Qi1ORCID,Liu Yijun3ORCID,Zheng Guidong3ORCID

Affiliation:

1. University of Science and Technology of China, China

2. University of Science and Technology of China, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China

3. China Merchants Bank, China

Funder

National Key R&D Program of China

China National Natural Science Foundation

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Reference62 articles.

1. Mining association rules between sets of items in large databases

2. Raunak Bhattacharyya , Soyeon Jung , Liam  A Kruse , Ransalu Senanayake , and Mykel  J Kochenderfer . 2021. A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering . IEEE Transactions on Intelligent Transportation Systems ( 2021 ). Raunak Bhattacharyya, Soyeon Jung, Liam A Kruse, Ransalu Senanayake, and Mykel J Kochenderfer. 2021. A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Transactions on Intelligent Transportation Systems (2021).

3. Richard Boddy and Gordon Smith . 2009. Statistical methods in practice: for scientists and technologists . John Wiley & Sons . Richard Boddy and Gordon Smith. 2009. Statistical methods in practice: for scientists and technologists. John Wiley & Sons.

4. NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

5. Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

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