Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this demo,  present Entity Relatedness Graph (EnRG), a focused related entities explorer, which provides the users with a dynamic set of filters and facets. It gives a ranked lists of related entities to a given entity, and clusters them using the different filters. For instance, using EnRG, one can easily find the American vegans related to Brad Pitt or Irish universities related to Semantic b. Moreover, EnRG helps a user in discovering the provenance for implicit relations beten two entities. EnRG uses distributional semantics to obtain the relatedness scores beten two entities.
['Nitish Aggarwal', 'Kartik Asooja', 'Housam Ziad', 'Paul Buitelaar']
I am writing a research paper on a idea Who are the American Vegans related to Brad Pitt?: Exploring Related Entities
[{"from": "human", "value": "I am writing a research paper on a idea Who are the American Vegans related to Brad Pitt?: Exploring Related Entities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this demo,  present Entity Relatedness Graph (EnRG), a focused related entities explorer, which provides the users with a dynamic set of filters and facets. It gives a ranked lists of related entities to a given entity, and clusters them using the different filters. For instance, using EnRG, one can easily find the American vegans related to Brad Pitt or Irish universities related to Semantic b. Moreover, EnRG helps a user in discovering the provenance for implicit relations beten two entities. EnRG uses distributional semantics to obtain the relatedness scores beten two entities."}]