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- W1551179054 abstract "Named Entity Recognition (NER) has recently been applied to search queries, in order to better understand their semantics. We present a novel method for detecting candidate named entities (NEs) using grammar annotation and query segmentation with the aid of top-n snippets from search engine results, and a web n-gram model to accurately identify NE boundaries. We then evaluate this method automatically using DBpedia as a rich data source of NEs, with the aid of a small representative random sample that is manually annotated. Finally, an analysis of the types of named entities that often occur in a query log is conducted, from which a search query driven named entity taxonomy is presented." @default.
- W1551179054 created "2016-06-24" @default.
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- W1551179054 date "2012-01-01" @default.
- W1551179054 modified "2023-09-27" @default.
- W1551179054 title "Extraction and Evaluation of Candidate Named Entities in Search Engine Queries" @default.
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- W1551179054 doi "https://doi.org/10.1007/978-3-642-35063-4_35" @default.
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