Semantic Tagging of Web Search Queries

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Semantic Tagging of Web Search Queries
We present a novel approach to parse web search queries for the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which generates bags (i.e. multi-sets) of words. Using this new type of rule in combination with the traditional probabilistic phrase structure rules, we define a hybrid grammar, which treats each search query as a bag of chunks (i.e. phrases). A hybrid probabilistic parser is used to parse the queries. In order to take contextual information into account, a discriminative model is used on top of the parser to re-rank the n-best parse trees generated by the parser. Experiments show that our approach outperforms a basic model, which is based on Conditional Random Fields.
Mehdi Manshadi, Xiao Li
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Mehdi Manshadi, Xiao Li
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