연구동향 분석

Improving Abstractive Summarization by Training Masked Out-of-Vocabulary Words

이태석 이현영 강승식 2022년

논문상세정보
인용/피인용
' Improving Abstractive Summarization by Training Masked Out-of-Vocabulary Words' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • BERT
  • Deep Learning
  • Generative Summarization
  • Selective OOV Copy Model
  • Unknown Words
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,914 0

0.0%

' Improving Abstractive Summarization by Training Masked Out-of-Vocabulary Words' 의 참고문헌

  • Universal language model fine-tuning for text classification
    J. Howard [2018]
  • Text summarization techniques: a brief survey
  • Snapshot ensembles: train 1, get m for free
  • Sequence to sequence learning with neural networks
  • Self-attention guided copy mechanism for abstractive summarization
    S. Xu [2020]
  • ScisummNet : a large annotated corpus and content-impact models for scientific paper summarization with citation networks
    M. Yasunaga [2019]
  • SGDR: stochastic gradient descent with warm restarts
  • Rouge 2.0: updated and improved measures for evaluation of summarization tasks
  • Ranking sentences for extractive summarization with reinforcement learning
  • Pointing the unknown words
    C. Gulcehre [2016]
  • Neural summarization by extracting sentences and words
    J. Cheng [2016]
  • Neural machine translation by jointly learning to align and translate
  • Neural Abstractive Text Summarization with Sequence-to-Sequence Models
    Tian Shi [2021]
  • Incorporating copying mechanism in sequence-to-sequence learning
    J. Gu [2016]
  • Cyclical learning rates for training neural networks
    L. N. Smith [2017]
  • Concept pointer network for abstractive summarization
    W. Wang [2019]
  • Centroid-based text summarization through compositionality of word embeddings
  • BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
  • BERT 임베딩과 선택적 OOV 복사 방법을 사용한 문서요약
    이태석 [2020]
  • Attention-guided answer distillation for machine reading comprehension
  • Attention is All you Need
  • Abstractive text summarization using sequence-tosequence RNNs and beyond
  • A survey on neural network-based summarization methods
  • A survey on automatic text summarization
    N. Nazari [2019]
  • A summarization system for scientific documents
    S. Erera [2019]
  • A continuous relaxation of beam search for end-toend training of neural sequence models
    K. Goyal [2018]