Questions Classification with Attention Machine

摘要

Due to the development of deep learning, word embedding has been introduced into nature language process. So, we tried using word embedding to simplify the information extraction of questions classification and take the advantage of big data. Additionally, with the advantages of attention machine, RNN in machine translation could consider the middle states to avoid the problem of bias on inputs. We introduce it into questions classification, and the experiment shows we get a little better performance than the best performance before.