Jiangtao Feng

Learning Context-Specific Word/Character Embeddings

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

Unsupervised word representations have demonstrated improvements in predictive generalization on various NLP tasks. Most of the existing models are in fact good at capturing the relatedness among words rather than their ''genuine'' similarity because the …

Attentive Multi-Layer Perceptron for Non-autoregressive Generation

2023 · arXiv (Cornell University)

Autoregressive~(AR) generation almost dominates sequence generation for its efficacy. Recently, non-autoregressive~(NAR) generation gains increasing popularity for its efficiency and growing efficacy. However, its efficiency is still bottlenecked by quadratic complexity in sequence lengths, which is …