Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network.

We propose a method for implicit discourse relation recognition using a recursive neural network (RNN). Many previous studies have used the word-pair feature to compare the meaning of two sentences for implicit discourse relation recognition. Our proposed method differs in that we use various-sized sentence expression units and compare the meaning of the expressions between two sentences by converting the expressions into vectors using the RNN. Experiments showed that our method significantly improves the accuracy of identifying implicit discourse relations compared with the word-pair method.