Graph-based Semi-supervised Learning for Text Classification-Reference-Cited by-同舟云学术

Graph-based Semi-supervised Learning for Text Classification

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Widmann Natalie¹,Verberne Suzan²

Affiliation:

1. Radboud University, Nijmegen, Netherlands

2. Leiden University, Leiden, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3121050.3121055

Reference35 articles.

1. Charu C Aggarwal and Peixiang Zhao 2013. Towards graphical models for text processing. Knowledge and information systems Vol. 36 1 (2013) 1--21. Charu C Aggarwal and Peixiang Zhao 2013. Towards graphical models for text processing. Knowledge and information systems Vol. 36 1 (2013) 1--21.

2. Noushin Rezapour Asheghi Katja Markert and Serge Sharoff. 2014. Semi-supervised Graph-based Genre Classification for Web Pages. TextGraphs-9 (2014) 39. Noushin Rezapour Asheghi Katja Markert and Serge Sharoff. 2014. Semi-supervised Graph-based Genre Classification for Web Pages. TextGraphs-9 (2014) 39.

3. Yoshua Bengio Olivier Delalleau and Nicolas Le Roux. 2006. 11 Label Propagation and Quadratic Criterion. Semi-Supervised Learning bibfieldeditorO. et al. Chapelle (Ed.). MIT Press. Yoshua Bengio Olivier Delalleau and Nicolas Le Roux. 2006. 11 Label Propagation and Quadratic Criterion. Semi-Supervised Learning bibfieldeditorO. et al. Chapelle (Ed.). MIT Press.

4. Esteban Castillo Ofelia Cervantes Darnes Vilarino David Báez and Alfredo Sánchez. 2015. Udlap: sentiment analysis using a graph based representation Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) . Association for Computational Linguistics 556--560. Esteban Castillo Ofelia Cervantes Darnes Vilarino David Báez and Alfredo Sánchez. 2015. Udlap: sentiment analysis using a graph based representation Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) . Association for Computational Linguistics 556--560.

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