3 papers
cs.IR2021
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application
Rongyu Cao, Yixuan Cao, Ganbin Zhou +1
In this paper, we study the problem of extracting variable-depth "logical document hierarchy" from long documents, namely organizing the recognized "physical document objects" into…
cs.CL2018
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents
Ganbin Zhou, Rongyu Cao, Xiang Ao +4
In this study, we focus on extracting knowledgeable snippets and annotating knowledgeable documents from Web corpus, consisting of the documents from social media and We-media. Inf…
cs.AI2017
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation
Ganbin Zhou, Ping Luo, Rongyu Cao +4
Different from other sequential data, sentences in natural language are structured by linguistic grammars. Previous generative conversational models with chain-structured decoder i…