Learning Noun Phrase Query Segmentation

Query segmentation is the process of taking a user’s search-engine query and dividing the tokens into individual phrases or semantic units. Identification of these query segments can potentially improve both document-retrieval precision, by first returning pages which contain the exact query segments, and document-retrieval recall, by allowing query expansion or substitution via the segmented units. We train and evaluate a machine-learned query segmentation system that achieves 86% segmentationdecision accuracy on a gold standard set of segmented noun phrase queries, well above recently published approaches. Key enablers of this high performance are features derived from previous natural language processing work in noun compound bracketing. For example, token association features beyond simple N-gram counts provide powerful indicators of segmentation.

• Type: Conference
• Year: 2007
• Where: EMNLP
• Authors: Shane Bergsma, Qin Iris Wang
• Keywords: EMNLP 2007, Natural Language Processing, Query Segmentation, Query Segments, User’s Search-engine Query