Approaches for Semantic Parsing in Machine Learning: A survey

April 2017
Vol-3, Issue-2
Paper ID: 4412
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Semantic Role labeling Parsing
Abstract
In the context of natural language processing, parsing may be defined as the method of converting structural descriptions to sequences of words in a natural language (or to sequences of symbols derived from word sequences). It has a rich ontology of type, properties, and relations. It supports automatic analysis or execution .Semantic parsing maps textual data to formal meaning Representations. This contrasts to semantic role labeling (Carreras and Marquez, 2004) and other forms of shallow semantic processing parsing It is important in computational linguistics and related areas of application like simple phrase finding, full semantic analysis of text, machine translation. This paper reviews different approaches for semantic parsing.

Author Information

# Name Institute / Affiliation
1 Mrs. Nilam S. Patil D.Y.Patil College of Engineering ,Akurdi,Pune

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patil, Mrs. Nilam S. (2017). Approaches for Semantic Parsing in Machine Learning: A survey. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3112-3115.
MLA Style
Patil, Mrs. Nilam S.. "Approaches for Semantic Parsing in Machine Learning: A survey." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3112-3115.
IEEE Style
Mrs. Nilam S. Patil, "Approaches for Semantic Parsing in Machine Learning: A survey," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3112-3115, 2017.
Vancouver Style
Patil Mrs. Nilam S.. Approaches for Semantic Parsing in Machine Learning: A survey. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3112-3115.
Harvard Style
Patil, Mrs. Nilam S. (2017) 'Approaches for Semantic Parsing in Machine Learning: A survey', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3112-3115.
Chicago Style
Patil, Mrs. Nilam S.. "Approaches for Semantic Parsing in Machine Learning: A survey." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3112-3115.
Turabian Style
Patil, Mrs. Nilam S.. "Approaches for Semantic Parsing in Machine Learning: A survey." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3112-3115.

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