A Study on Automatic Recognition of Chinese Sentence Pairs Relations Based on CNN.

The sentence pairs relations of Chinese discourse play an important role in many natural language processing tasks. Automatic recognition the sentence pairs relations will effectively improve the performance of tasks such as automatic writing and text generation. Among sentence pairs relations, coordination as the double-nucleus relation is the most widely distributed one. In order to automatically identify the double-nucleus relations, this paper combines convolutional neural network and word sequence features, synthetically takes into account the semantic and structural characteristics, and add attention to dig the double-nucleus relations. Experiments show that this method can effectively identify the double-nucleus relations, and the method is portability.