Structural annotation of search queries using pseudo-relevance feedback

Marking up queries with annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of many approaches to query processing and understanding. Due to their brevity and idiosyncratic structure, search queries pose a challenge to existing annotation tools that are commonly trained on full-length documents. To address this challenge, we view the query as an explicit representation of a latent information need, which allows us to use pseudorelevance feedback, and to leverage additional information from the document corpus, in order to improve the quality of query annotation. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Algorithms, Experimentation Keywords Query processing, query annotation

• Type: Journal
• Year: 2010
• Where: CIKM
• Authors: Michael Bendersky, W. Bruce Croft, David A. Smith
• Keywords: Annotation, CIKM 2010, Information Technology, Query Annotation, Query Processing