Learning semantic categories from clickthrough logs

ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Volumn , Issue , 2009, Pages 189-192

  Komachi, Mamoru ^a   Makimoto, Shimpei ^b   Uchiumi, Kei ^b   Sassano, Manabu ^b  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b YAHOO JAPAN CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; SEMANTICS; WEBSITES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB;

LEARNING SEMANTICS; SEMANTIC CATEGORY; WEB SEARCH QUERIES; WEB SEARCHES; LEARN+; QUERY LOGS;

NATURAL LANGUAGE PROCESSING SYSTEMS; INFORMATION RETRIEVAL;

EID: 77952295683     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1667583.1667641     Document Type: Conference Paper

References (9)

1. T. Joachims. 2002. Optimizing Search Engines Using Clickthrough Data. KDD, pages 133-142.
2. M. Komachi and H. Suzuki. 2008. Minimally Supervised Learning of Semantic Knowledge from Query Logs. IJCNLP, pages 358-365.
3. M. Paşca and B. V. Durme. 2007. What You Seek is What You Get: Extraction of Class Attributes from Query Logs. IJCAI-07, pages 2832-2837.
4. M. Paşca and B. V. Durme. 2008. Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. ACL-2008, pages 19-27.
5. P. Pantel and D. Ravichandran. 2004. Automatically Labeling Semantic Classes. HLT/NAACL-04, pages 321-328.
6. C. Silverstein, M. Henzinger, H. Marais, and M. Moricz. 1998. Analysis of a Very Large AltaVista Query Log. Digital SRC Technical Note 1998-014.
7. P. P. Talukdar, J. Reisinger, M. Paşca, D. Ravichandran, R. Bhagat, and F. Pereira. 2008. Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks. EMNLP-2008, pages 581-589.
8. G. Xu, S. Yang, and H. Li. 2009. Named Entity Mining from Click-Through Log UsingWeakly Supervised Latent Dirichlet Allocation. KDD. to appear.
9. D. Zhou, O. Bousquet, T. N. Lal, J.Weston, and B. Schökopf. 2004. Learning with Local and Global Consistency. NIPS, 16:321-328.