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today we are going to talk about a subdomain of question answering called long form question answering now before we get into the specifics letamp;#39;s just talk very quickly about question answering as a subdomain of nlp question answering has i think exploded as a subdomain of nlp in the past few years mainly because i think question answering is an incredibly widely applicable use case for nlp but it wasnamp;#39;t possible to do question answering or not anything good with question answering until we had transformed models like that so that means that as soon as we got something like bert the question answering became viable and with the huge number of use cases for question answering it obviously kind of took off now question answering is quite complicated but at its core itamp;#39;s basically just the retrieval of information in a more human like way and when we consider this i think it makes it really clear how broadly applicable question answering is because almost every org
