Character-level Intra Attention Network for Natural Language Inference
Yang Han, Marta R. Costa‐jussà, José A. R. Fonollosa · 2017
Natural language inference (NLI) is a central problem in language understanding.End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently.In this paper, we propose Characterlevel Intra Attention Network (CIAN) for the NLI task.In our model, we use the character-level convolutional network to replace the standard word embedding layer, and we use the intra attention to capture the intra-sentence semantics.The proposed CIAN model provides improved results based on a newly published MNLI corpus.