Machine Comprehension Using Match-LSTM and Answer Pointer
international conference on learning representations, 2017.
Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large number of real questions and their answers created by humans through crowdsourcing. SQuAD provides a challenging testbed for evaluating machine comprehension alg...More
PPT (Upload PPT)