Too Many Questions
نویسندگان
چکیده
Much work has been done in recognizing the semantics of sentences as well as semantic relationships between sentences. We applied some of these previous approaches to the space of question similarity. Our task was to create a classifier that given a pair of questions, attempted to predict whether or not the questions were asking the same question. Of the four models we attempted (bag of words, LSTM with distance and angle, LSTM with normal attention, and LSTM with word-byword attention), the model that performed the best was LSTM with distance and angle, achieving a test accuracy of 84.7 percent. Word-by-word attention also outperformed normal attention by almost 1 percent.
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