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A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing

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Title: A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing
Authors: Rohini B. Kokare, Savitribai Phule, Kirti H. Wanjale
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://research.ijcaonline.org/volume107/number5/pxc3899998.pdf.
Collection: CiteSeerX
Subject Terms: Natural Language Processing(NLP, Dependency parsing, Structured Query Language(SQL, Projective and Non-projective Dependency Parsing, Data-driven Dependency Parsing, Transition-based models, Pseudo-projective parsing, Graph based models, Higher-order factorizations, Span
Description: Natural language query builder interface retrieves the required data from database when query is given in natural language. To retrieve the correct data from database, the user should have sufficient technical knowledge of Structured Query Language (SQL) statements. Natural Language Query Builder Interface (NLQBI) will solve this problem. In natural language parsing, getting highly accurate syntactic analysis is a crucial step. Parsing of natural languages can be seen as the process of mapping an input string or a sentence to its syntactic representation. One of the parsing technique is dependency parsing. Dependency parsing focuses on relations between words which resolve ambiguity. Most of the recent efficient algorithms for dependency parsing work by factoring the dependency trees. Graph based dependency parsing models are prevalent in dependency parsing because of their state-of-art accuracy and efficiency. This paper covers some recent developments in NLQBI systems and survey on dependency parsing techniques.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.8080; http://research.ijcaonline.org/volume107/number5/pxc3899998.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.8080
http://research.ijcaonline.org/volume107/number5/pxc3899998.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.7649C52
Database: BASE
Description
Abstract:Natural language query builder interface retrieves the required data from database when query is given in natural language. To retrieve the correct data from database, the user should have sufficient technical knowledge of Structured Query Language (SQL) statements. Natural Language Query Builder Interface (NLQBI) will solve this problem. In natural language parsing, getting highly accurate syntactic analysis is a crucial step. Parsing of natural languages can be seen as the process of mapping an input string or a sentence to its syntactic representation. One of the parsing technique is dependency parsing. Dependency parsing focuses on relations between words which resolve ambiguity. Most of the recent efficient algorithms for dependency parsing work by factoring the dependency trees. Graph based dependency parsing models are prevalent in dependency parsing because of their state-of-art accuracy and efficiency. This paper covers some recent developments in NLQBI systems and survey on dependency parsing techniques.