Xiaoqing Zheng

Character-based parsing with convolutional neural network

2015 · International Conference on Artificial Intelligence

We describe a novel convolutional neural network architecture with k-max pooling layer that is able to successfully recover the structure of Chinese sentences. This network can capture active features for unseen segments of a sentence …

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 …

Incremental Graph-based Neural Dependency Parsing

2017

Very recently, some studies on neural dependency parsers have shown advantage over the traditional ones on a wide variety of languages. However, for graphbased neural dependency parsing systems, they either count on the long-term memory …

Generating Responses with a Specific Emotion in Dialog

2019

It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction. After a careful investigation of …