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- W2479252110 abstract "Queries asked on search engines nowadays increasingly fall in full natural language, which refer to Natural Language queries (NL queries). Parsing that kind of queries for the purpose of understanding user’s query intent is an essential factor to search engine. To this end, a hierarchical structure is introduced to represent the semantic intent of NL query and then we focus on the problem of mapping NL queries to the corresponding semantic intents. We propose a parsing method by conducting two steps as follows: (1) predicting semantic tags for a given input query; (2) building an intent representation for the query using the sequence of semantic tags based on a structured SVM classification model. Experimental results on a manually labeled corpus show that our method achieved a sufficiently high result in term of precision and F1." @default.
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- W2479252110 date "2013-01-01" @default.
- W2479252110 modified "2023-09-23" @default.
- W2479252110 title "Understanding the Semantic Intent of Domain-Specific Natural Language Query" @default.
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