BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

@article{West2019BottleSumUA,
  title={BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle},
  author={Peter West and Ari Holtzman and Jan Buys and Yejin Choi},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.07405}
}
The principle of the Information Bottleneck (Tishby et al. 1999) is to produce a summary of information X optimized to predict some other relevant information Y. In this paper, we propose a novel approach to unsupervised sentence summarization by mapping the Information Bottleneck principle to a conditional language modelling objective: given a sentence, our approach seeks a compressed sentence that can best predict the next sentence. Our iterative algorithm under the Information Bottleneck… CONTINUE READING

Figures, Tables, and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES