Neural Machine Translation for Query Construction and Composition Tommaso Soru 1 Edgard Marx 1 Andr´e Valdestilhas 1 Diego Esteves 2 Diego Moussallem 1 Gustavo Publio 1 Abstract Research on question answering with know

First Page		Document Content
Date: 2018-08-06 06:17:49 Computing Computational linguistics Linguistics Information science Artificial neural network SPARQL Semantic parsing Word-sense disambiguation Semantic Web Natural language processing Query language Question answering		Neural Machine Translation for Query Construction and Composition Tommaso Soru 1 Edgard Marx 1 Andr´e Valdestilhas 1 Diego Esteves 2 Diego Moussallem 1 Gustavo Publio 1 Abstract Research on question answering with know Add to Reading List Source URL: uclmr.github.io Download Document from Source Website File Size: 189,14 KB Share Document on Facebook

	Reverse Engineering SPARQL Queries∗ Marcelo Arenas Gonzalo I. Diaz Egor V. Kostylev DocID: 1xV2q - View Document
	For the DISTINCT Clause of SPARQL Queries Medha Atre Dept. of Computer Science and Engineering Indian Institute of Technology, Kanpur, India DocID: 1xUq4 - View Document
	SPARQL Micro-Services: Lightweight Integration of Web APIs and Linked Data DocID: 1v1KD - View Document
	ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints Maribel Acosta1 , Maria-Esther Vidal1 , Tomas Lampo2 , Julio Castillo1 , and Edna Ruckhaus1 1 DocID: 1uWvj - View Document
	Jr. of Industrial Pollution Controlppwww.icontrolpollution.com Research Article HPL ALGORITHM FOR SEMANTIC INFORMATION RETRIEVAL WITH RDF AND SPARQL DocID: 1uQLf - View Document