In this paper, we propose a novel large-scale NBA dataset for Sports Video Analysis (NSVA) with a focus on captioning, to address the above challenges.
Previous works on knowledge-to-text generation take as input a few RDF triples or key-value pairs conveying the knowledge of some entities to generate a natural language description.
Ranked #1 on KG-to-Text Generation on ENT-DESC
Scene Classification has been addressed with numerous techniques in computer vision literature.
In this paper, we present a new data set, named FreebaseQA, for open-domain factoid question answering (QA) tasks over structured knowledge bases, like Freebase.
Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP.