Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Building taxonomy of web search intents for name entity queries
Proceedings of the 19th international conference on World wide web
Unsupervised query segmentation using only query logs
Proceedings of the 20th international conference companion on World wide web
Unsupervised query segmentation using clickthrough for information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A multi-faceted approach to query intent classification
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
An IR-based evaluation framework for web search query segmentation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Role-explicit query identification and intent role annotation
Proceedings of the 21st ACM international conference on Information and knowledge management
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It is believed that Web search queries are becoming more structurally complex over time. However, there has been no systematic study that quantifies such characteristics. In this thesis, we propose that queries are evolving into a unique linguistic system. We demonstrate proof of this hypothesis by examining the structure of Web queries by applying well-established techniques from natural language understanding. Preliminary results of these experiments show quantitative and qualitative proof that queries are not just some form of text between random sequences of words and natural language - they have distinct properties of their own.