DBpedia Neural Concept Discovery - GSoC2020

AI has dominated the research landscape, unleashing the fourth industrial revolution.
This work consists of using Neural Concept [1] Discovery to learn new vocabulary throughout the Linked Open Data (LOD) and thus increase the Neural SPARQL Machine accuracy as well as any other model relying on DBpedia to perform natural language processing (NLP).

[1] Google “an idea or mental image which corresponds to some distinct entity or class of entities, or to its essential features, or determines the application of a term (especially a predicate), and thus plays a part in the use of reason or language.”

Thanks emarx!
That’s a very interesting project that I’d like to contribute!

Description
AI has dominated the research landscape, unleashing the fourth industrial revolution.
This work consists of using Neural Concept [1] Discovery to learn new vocabulary throughout the Linked Open Data (LOD) and thus increase the Neural SPARQL Machine accuracy as well as any other model relying on DBpedia to perform natural language processing (NLP).

[1] Google “an idea or mental image which corresponds to some distinct entity or class of entities, or to its essential features, or determines the application of a term (especially a predicate), and thus plays a part in the use of reason or language.”

Goal
Create a Nerual Concept Expansion Dataset

Impact
Enable better Translation, Search, QA and Link Discovery throughout better concept mappings.

Warm-up tasks
(1) Read the paper https://arxiv.org/pdf/1708.00247.pdf
(2) Read the paper https://www.iro.umontreal.ca/~nie/IFT6255/carpineto-Survey-QE.pdf

Mentors
Edgard Marx

Keywords
#NSpM #DBpedia #ConceptExpansion #AI

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