Corpus ID: 54448559

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

@article{Shi2018NeuralAT,
  title={Neural Abstractive Text Summarization with Sequence-to-Sequence Models},
  author={Tian Shi and Yaser Keneshloo and Naren Ramakrishnan and C. Reddy},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.02303}
}
  • Tian Shi, Yaser Keneshloo, +1 author C. Reddy
  • Published 2018
  • Computer Science, Mathematics
  • ArXiv
  • In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. [...] Key Method Many models were first proposed for language modeling and generation tasks, such as machine translation, and later applied to abstractive text summarization. Therefore, we also provide a brief review of these models.Expand Abstract
    Deep Transfer Reinforcement Learning for Text Summarization
    • 11
    • PDF
    Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
    • 10
    • Highly Influenced
    • PDF
    LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
    • 7
    • PDF
    The Impact of Local Attention in LSTM for Abstractive Text Summarization
    • 6
    Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study
    • 6
    • PDF
    Evaluation of Text Generation: A Survey
    • 4
    • PDF
    Natural Language Processing Advancements By Deep Learning: A Survey
    • 4
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 138 REFERENCES
    Sequence to Sequence Learning with Neural Networks
    • 10,529
    • PDF
    Adam: A Method for Stochastic Optimization
    • 49,762
    • PDF
    Attention is All you Need
    • 11,795
    • PDF
    Deep Residual Learning for Image Recognition
    • 50,397
    • PDF
    ImageNet classification with deep convolutional neural networks
    • 52,359
    • Highly Influential
    • PDF
    Neural Machine Translation by Jointly Learning to Align and Translate
    • 12,894
    • Highly Influential
    • PDF
    Long Short-Term Memory
    • 30,975
    • PDF
    Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
    • 952
    • Highly Influential
    • PDF
    Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
    • 9,501
    • Highly Influential
    • PDF
    Effective Approaches to Attention-based Neural Machine Translation
    • 3,923
    • Highly Influential
    • PDF