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- query-segmentation-revisited creator benno-stein.
- query-segmentation-revisited creator christof-braeutigam.
- query-segmentation-revisited creator martin-potthast.
- query-segmentation-revisited creator matthias-hagen.
- query-segmentation-revisited type InProceedings.
- query-segmentation-revisited label "Query Segmentation Revisited".
- query-segmentation-revisited sameAs query-segmentation-revisited.
- query-segmentation-revisited abstract "We address the problem of query segmentation: given a keyword query, the task is to group the keywords into phrases, if possible. Previous approaches to the problem achieve reasonable segmentation performance but are tested only against a small corpus of manually segmented queries. In addition, many of the previous approaches are fairly intricate as they use expensive features and are difficult to be reimplemented. The main contribution of this paper is a new method for query segmentation that is easy to implement, fast, and that comes with a segmentation accuracy comparable to current state-of-the-art techniques. Our method uses only raw web n-gram frequencies and Wikipedia titles that are stored in a hash table. At the same time, we introduce a new evaluation corpus for query segmentation. With about 50000 human-annotated queries, it is two orders of magnitude larger than the corpus being used up to now.".
- query-segmentation-revisited hasAuthorList authorList.
- query-segmentation-revisited hasTopic query-analysis.
- query-segmentation-revisited hasTopic World_Wide_Web.
- query-segmentation-revisited isPartOf proceedings.
- query-segmentation-revisited title "Query Segmentation Revisited".