Perfect timing for me. I've been working on a project that needs multilingual vectorizing and entity recognition. I've been using dbpedia and yago queries. Given an input text, what would be a good way to extract a list of entities? The word sequence should be usable to determine which is an entity or just a word. Is there the possibility to do fine tuning a la Bert or Elmo?
My past paper describes an entity linking method based on Wikipedia2Vec: https://arxiv.org/abs/1601.01343
You need to extract entity names using an NER software (e.g., SpaCy, Stanford NER), and resolve the names to knowledge base entities using the entity linking method.