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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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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
|
Logan Lebanoff
|
Fei Liu
|
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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On the Abstractiveness of Neural Document Summarization
Fangfang Zhang
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Jin-ge Yao
|
Rui Yan
|
Frustratingly Easy Model Ensemble for Abstractive Summarization
Hayato Kobayashi
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Natural Answer Generation with Heterogeneous Memory
Yao Fu
|
Yansong Feng
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Controllable Abstractive Summarization
Angela Fan
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David Grangier
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Michael Auli
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Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models
Shun Kiyono
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Sho Takase
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Jun Suzuki
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Naoaki Okazaki
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Kentaro Inui
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Masaaki Nagata
|
https://github.com/facebook/NAMAS
http://duc.nist.gov/duc2004/tasks.html
http://opennmt.net
Field Of Study
Task
Summarization
Machine Translation
Language
Spanish
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