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Author
W. Weerkamp
K. Balog
M. de Rijke
Year
2009
Title
A generative blog post retrieval model that uses query expansion based on external collections
Event
Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-IJCNLP 2009), Suntec, Singapore
Book/source title
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Suntec, Singapore: Volume 2
Pages (from-to)
1057-1065
Publisher
Morristown, NJ: Association for Computational Linguistics (ACL)
ISBN
9781932432466
Document type
Conference contribution
Faculty
Faculty of Science (FNWI)
Institute
Informatics Institute (IVI)
Abstract
User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user's information need and documents in a specific user generated content environment, the blogosphere, we apply a form of query expansion, i.e., adding and reweighing query terms. Since the blogosphere is noisy, query expansion on the collection itself is rarely effective but external, edited collections are more suitable. We propose a generative model for expanding queries using external collections in which dependencies between queries, documents, and expansion documents are explicitly modeled. Different instantiations of our model are discussed and make different (in)dependence assumptions. Results using two external collections (news and Wikipedia) show that external expansion for retrieval of user generated content is effective; besides, conditioning the external collection on the query is very beneficial, and making candidate expansion terms dependent on just the document seems sufficient.
Link
Link
Language
English
Permalink
http://hdl.handle.net/11245/1.320564

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