4 papers
Adversarial Multi-Binary Neural Network for Multi-class Classification
Haiyang Xu, Junwen Chen, Kun Han +1
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output…
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
Haiyang Xu, Yahao He, Kun Han +2
Text summarization aims to generate a headline or a short summary consisting of the major information of the source text. Recent studies employ the sequence-to-sequence framework t…
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
Haiyang Xu, Yun Wang, Kun Han +3
Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary…
DELTA: A DEep learning based Language Technology plAtform
Kun Han, Junwen Chen, Hui Zhang +20
In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech pro…