A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization

no code implementations • 9 May 2018 • Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du

In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS2S) model and using self-critical sequence training (SCST) for optimization.

Abstractive Text Summarization Informativeness

SSSC-AM: A Unified Framework for Video Co-Segmentation by Structured Sparse Subspace Clustering with Appearance and Motion Features

no code implementations • 14 Mar 2016 • Junlin Yao, Frank Nielsen

State-of-the-art methods via subspace clustering seek to solve the problem in two steps: First, an affinity matrix is built from data, with appearance features or motion patterns.

Clustering Segmentation