Recursive Neural Network based Semantic Textual Similarity Model using Novel Features

dc.contributor.guide	Sivarama Bhadri Raju M S V and Vishnu Vardhan B
dc.coverage.spatial
dc.creator.researcher	Sowmya Vangapelli
dc.date.accessioned	2025-07-16T11:16:18Z
dc.date.available	2025-07-16T11:16:18Z
dc.date.awarded	2019
dc.date.completed	2019
dc.date.registered	2011
dc.description.abstract	Attached
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	110pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/652547
dc.language	English
dc.publisher.institution	Faculty of Computer Science and Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Lexical and Syntactic Features
dc.subject.keyword	Recursive Neural Network
dc.subject.keyword	Semantic Textual Similarity
dc.title	Recursive Neural Network based Semantic Textual Similarity Model using Novel Features
dc.title.alternative
dc.type.degree	Ph.D.