Pytorch BERT is one of the most Extractive question answering tools which is created on a text embedding idealogy. This takes as input a pair of question-setup strings and returns a related contextual sub-module string that more or less matches the exact context of the real answer to the question. The best part of this setup is it is based on a pre-trained on multilingual setup which helps in returning question-context strings. Review collected by and hosted on G2.com.

AI & ML is doing marvelous jobs but still, we have not achieved the level that we want. Sometimes it acts weird by returning an answer or string which is related to the question in a vocabulary way but not a contextual way. This can be set aside as an exception because these are very rare instances where your utterances are not set properly. Review collected by and hosted on G2.com.