Conference proceeding
Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2, pp.623-629
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Online social networks nowadays have the worldwide prosperity, as they have revolutionized the way for people to discover, to share, and to diffuse information. Social networks are powerful, yet they still have Achilles Heel: extreme data sparsity. Individual posting documents, (e.g., a microblog less than 140 characters), seem to be too sparse to make a difference under various scenarios, while in fact they are quite different. We propose to tackle this specific weakness of social networks by smoothing the posting document language model based on social regularization. We formulate an optimization framework with a social regularizer. Experimental results on the Twitter dataset validate the effectiveness and efficiency of our proposed model.
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Details
- Title
- Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization
- Creators
- Rui Yan - Baidu Inc, Baidu Res, Beijing, Peoples R ChinaXiang Li - Baidu Inc, Baidu Res, Beijing, Peoples R ChinaMengwen Liu - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USAXiaohua Hu - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA
- Contributors
- C Zong (Editor)M Strube (Editor)
- Publication Details
- PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2, pp.623-629
- Conference
- 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), 53rd
- Publisher
- Assoc Computational Linguistics-Acl
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000493810000103
- Other Identifier
- 991019170476504721
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- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Linguistics