Understanding the Semantic Intent of Domain-Specific Natural Language Query
Juan Xu, Qi Zhang, Xuanjing Huang · 2013
Queries asked on search engines nowa-days increasingly fall in full natural lan-guage, 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 se-mantic intent of NL query and then we fo-cus 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 se-mantic 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 manu-ally labeled corpus show that our method achieved a sufficiently high result in term of precision and F1. 1