750 citations · 1.1k across the 8 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.CL2016★ 83 cited
Classify or Select: Neural Architectures for Extractive Document Summarization
Ramesh Nallapati, Bowen Zhou, Mingbo Ma
We present two novel and contrasting Recurrent Neural Network (RNN) based architectures for extractive summarization of documents. The Classifier based architecture sequentially ac…
cs.CL2016★ 750 cited
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati, Feifei Zhai, Bowen Zhou
We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or compara…
cs.CL2016★ 42 cited
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
Yang Yu, Wei Zhang, Kazi Hasan +3
This paper proposes dynamic chunk reader (DCR), an end-to-end neural reading comprehension (RC) model that is able to extract and rank a set of answer candidates from a given docum…