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Neural Headline Generation on Abstract Meaning Representation
Sho Takase
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Jun Suzuki
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Naoaki Okazaki
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Tsutomu Hirao
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Masaaki Nagata
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
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Logan Lebanoff
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Fei Liu
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Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li
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Junnan Zhu
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Jiajun Zhang
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Chengqing Zong
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
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Lin Zhao
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Fei Liu
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Extractive Headline Generation Based on Learning to Rank for Community Question Answering
Tatsuru Higurashi
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Hayato Kobayashi
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Takeshi Masuyama
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Kazuma Murao
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Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
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Toru Fujino
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Junichiro Mori
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Yutaka Matsuo
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Ichiro Sakata
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Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li
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Xinyan Xiao
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Yajuan Lyu
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Yuanzhuo Wang
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Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
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Mohit Bansal
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Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li
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Xinyan Xiao
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Yajuan Lyu
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Yuanzhuo Wang
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
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Fei Liu
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Frustratingly Easy Model Ensemble for Abstractive Summarization
Hayato Kobayashi
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Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki
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Masaaki Nagata
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
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Xu Sun
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Wei Li
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Sujian Li
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Wenjie Li
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Xuancheng Ren
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Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas
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Srinivasan Iyer
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Mark Yatskar
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Yejin Choi
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Luke Zettlemoyer
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A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
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Yue Zhang
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Zhiguo Wang
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Daniel Gildea
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Sequence-to-sequence Models for Cache Transition Systems
Xiaochang Peng
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Linfeng Song
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Daniel Gildea
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Giorgio Satta
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Global Encoding for Abstractive Summarization
Junyang Lin
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Xu Sun
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Shuming Ma
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Qi Su
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Bag-of-Words as Target for Neural Machine Translation
Shuming Ma
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Xu Sun
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Yizhong Wang
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Junyang Lin
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Junyang Lin
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Houfeng Wang
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Unsupervised Semantic Abstractive Summarization
Shibhansh Dohare
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Vivek Gupta
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Harish Karnick
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Semantic Neural Machine Translation Using AMR
Linfeng Song
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Daniel Gildea
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Yue Zhang
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Zhiguo Wang
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Jinsong Su
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Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
Nam Khanh Tran
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Weiwei Cheng
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A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua
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Lu Wang
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https://github.com/facebook/NAMAS
Field Of Study
Linguistic Trends
Embeddings
Task
Summarization
Language
English
Dataset
News
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