Machine Learning, NLP, Computer Vision, Information Retrieval, Transformers.
this case, the neural pipeline for open Question Answering also consists of a first stage Retriever, which selects a pool of contexts, and the Reader takes a question “q” and the collection of contexts “K”, encodes them and then decodes an answer “a” based on this two part input. As a Reader model,