Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search

Author:

Hu XinORCID,Duan JiangliORCID,Dang Depeng

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Startup Foundation for Introducing Talent of Yangtze Normal University

youth project of science and technology research program of Chongqing Education Commission of China

Natural Science Foundation of Chongqing

major project of science and technology research program of Chongqing Education Commission of China

PhD Candidate Talent Development Project

Chongqing Natural Science Foundation

Natural Science Foundation of Shaanxi Provincial Department of Education

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference45 articles.

1. Amsterdamer Y, Kukliansky A, Milo T (2015) NL2CM: a natural language interface to crowd mining. In: Proceedings of the ACM SIGMOD international conference on management of data, pp 1433–1438

2. De Marneffe MC, Dozat T, Silveira N, Haverinen K, Ginter F, Nivre J, Manning CD (2014) Universal Stanford dependencies: a cross-linguistic typology. In: Proceedings of the international conference on language resources and evaluation (LREC), pp 4585–4592

3. Diefenbach D, Singh K, Maret P (2018) WDAqua-core1: a question answering service for RDF knowledge bases. In: Proceedings of the international world wide web conferences (WWW), pp 1087–1091

4. Dima C (2013) Intui2: a prototype system for question answering over linked data. In: Proceedings of the question answering over linked data lab (QALD-3) at CLEF, pp 1–12

5. Dubey M, Dasgupta S, Sharma A, Hoffner K, Lehmann J (2016) AskNow: a framework for natural language query formalization in SPARQL. In: Proceedings of the international semantic web conference (ISWC), pp 300–316

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