Baotian Hu

Convolutional Neural Network Architectures for Matching Natural Language Sentences

2015 · arXiv (Cornell University)

Semantic matching is of central importance to many natural language tasks \cite{bordes2014semantic,RetrievalQA}. A successful matching algorithm needs to adequately model the internal structures of language objects and the interaction between them. As a step toward …

Learning to Extract Coherent Summary via Deep Reinforcement Learning

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Coherence plays a critical role in producing a high-quality summary from a document. In recent years, neural extractive summarization is becoming increasingly attractive. However, most of them ignore the coherence of summaries when extracting sentences. …

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

2015

Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full …