we discover PetroChina as a concept stock of 'petroleum' from the document 'PetroChina acquires Keppel's entire stake in Singapore Petroleum') and the task is to automatically discover these relations and select a subset of stocks as c's concept stocks based on the data    Motivated by the success of embedding-based models Pennington et al., 2014) in capturing semantic regularities, we use embeddings to represent concepts, stocks and documents.
we adopt Chinese word segmentation (Yang et al., 2017) to obtain words from documents.