Semi-supervised multi-task learning of structured prediction models for web information extraction
暂无分享,去创建一个
S. Sathiya Keerthi | Paramveer S. Dhillon | Sundararajan Sellamanickam | S. Keerthi | Sundararajan Sellamanickam
[1] Jiawei Han,et al. CETR: content extraction via tag ratios , 2010, WWW '10.
[2] Jennifer Neville,et al. Why collective inference improves relational classification , 2004, KDD.
[3] Wei-Ying Ma,et al. Simultaneous record detection and attribute labeling in web data extraction , 2006, KDD '06.
[4] Dale Schuurmans,et al. Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling , 2006, ACL.
[5] Louise E. Moser,et al. Extracting data records from the web using tag path clustering , 2009, WWW '09.
[6] Marcos André Gonçalves,et al. ONDUX: on-demand unsupervised learning for information extraction , 2010, SIGMOD Conference.
[7] Khaled Shaalan,et al. A Survey of Web Information Extraction Systems , 2006, IEEE Transactions on Knowledge and Data Engineering.
[8] I. V. Ramakrishnan,et al. Exploiting Structured Reference Data for Unsupervised Text Segmentation with Conditional Random Fields , 2008, SDM.
[9] Nicholas Kushmerick,et al. Wrapper Induction for Information Extraction , 1997, IJCAI.
[10] Craig A. Knoblock,et al. Hierarchical Wrapper Induction for Semistructured Information Sources , 2004, Autonomous Agents and Multi-Agent Systems.
[11] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[12] Bing Liu,et al. Web data extraction based on partial tree alignment , 2005, WWW '05.
[13] Andrew McCallum,et al. Accurate Information Extraction from Research Papers using Conditional Random Fields , 2004, NAACL.
[14] Rahul Gupta,et al. Answering Table Augmentation Queries from Unstructured Lists on the Web , 2009, Proc. VLDB Endow..
[15] Fidel Cacheda,et al. Using Clustering and Edit Distance Techniques for Automatic Web Data Extraction , 2007, WISE.
[16] Gholamreza Haffari,et al. A Rate Distortion Approach for Semi-Supervised Conditional Random Fields , 2009, NIPS.
[17] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[18] Ivor W. Tsang,et al. Domain adaptation from multiple sources via auxiliary classifiers , 2009, ICML '09.
[19] Pierre Senellart,et al. Automatic wrapper induction from hidden-web sources with domain knowledge , 2008, WIDM '08.
[20] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[21] Lawrence Carin,et al. Semi-Supervised Multitask Learning , 2007, NIPS.
[22] Lise Getoor,et al. Link-Based Classification , 2003, Encyclopedia of Machine Learning and Data Mining.
[23] Xiaojin Zhu,et al. Kernel conditional random fields: representation and clique selection , 2004, ICML.
[24] Lorenzo Blanco,et al. Redundancy-driven web data extraction and integration , 2010, WebDB '10.
[25] Sunita Sarawagi,et al. Automatic segmentation of text into structured records , 2001, SIGMOD '01.
[26] Sunita Sarawagi,et al. Information Extraction , 2008 .
[27] Shui-Lung Chuang,et al. Context-Aware Wrapping: Synchronized Data Extraction , 2007, VLDB.
[28] Dimitris Samaras,et al. Multi-Task Learning of Gaussian Graphical Models , 2010, ICML.
[29] Eugene Agichtein,et al. Mining reference tables for automatic text segmentation , 2004, KDD.
[30] Craig A. Knoblock,et al. Unsupervised information extraction from unstructured, ungrammatical data sources on the World Wide Web , 2007, International Journal of Document Analysis and Recognition (IJDAR).
[31] Mikhail Belkin,et al. Maximum Margin Semi-Supervised Learning for Structured Variables , 2005, NIPS 2005.
[32] Rich Caruana,et al. Multitask Learning , 1997, Machine Learning.
[33] Jun Suzuki,et al. Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data , 2008, ACL.
[34] Lise Getoor,et al. Collective Classification in Network Data , 2008, AI Mag..
[35] Sunita Sarawagi,et al. Integrating Unstructured Data into Relational Databases , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[36] Valter Crescenzi,et al. RoadRunner: Towards Automatic Data Extraction from Large Web Sites , 2001, VLDB.
[37] Ivor W. Tsang,et al. Extracting discriminative concepts for domain adaptation in text mining , 2009, KDD.
[38] Charles A. Micchelli,et al. Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..
[39] Sunita Sarawagi,et al. Domain Adaptation of Conditional Probability Models Via Feature Subsetting , 2007, PKDD.
[40] Slav Petrov,et al. Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models , 2010, EMNLP.
[41] Pedro M. Domingos,et al. Joint Inference in Information Extraction , 2007, AAAI.