With the development of artificial intelligence, more and more people hope that computers
can understand human language through natural language technology, learn to think like …

As the vital technology of natural language understanding, sentence representation
reasoning technology mainly focuses on sentence representation methods and reasoning …

The whole sentence representation reasoning process simultaneously comprises a
sentence representation module and a semantic reasoning module. This paper combines …

Many keywords in a sentence that represents the semantic propensity of the sentence.
These words can exist anywhere in the sentence, which poses a great challenge to …

Convolutional neural network has been proven to be a powerful semantic composition
model for modelling sentences. A standard convolutional neural network usually consists of …

Modeling sentence pairs plays the vital role for judging the relationship between two
sentences, such as paraphrase identification, natural language inference, and answer …

Most conventional sentence similarity methods only focus on similar parts of two input
sentences, and simply ignore the dissimilar parts, which usually give us some clues and …

In sentence modeling and classification, convolutional neural network approaches have
recently achieved state-of-the-art results, but all such efforts process word vectors …

Neural network models have been demonstrated to be capable of achieving remarkable
performance in sentence and document modeling. Convolutional neural network (CNN) and …

Natural language understanding (NLU) is a core technology for implementing natural
interfaces and has received much attention in recent years. While learning embedding …