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Cutting-off Redundant Repeating Generations for Neural Abstractive
  Summarization

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization

31 December 2016
Jun Suzuki
Masaaki Nagata
ArXivPDFHTML

Papers citing "Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization"

12 / 12 papers shown
Title
Text-Blueprint: An Interactive Platform for Plan-based Conditional
  Generation
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
Fantine Huot
Joshua Maynez
Shashi Narayan
Reinald Kim Amplayo
Kuzman Ganchev
Annie Louis
Anders Sandholm
Dipanjan Das
Mirella Lapata
39
7
0
28 Apr 2023
Conditional Generation with a Question-Answering Blueprint
Conditional Generation with a Question-Answering Blueprint
Shashi Narayan
Joshua Maynez
Reinald Kim Amplayo
Kuzman Ganchev
Annie Louis
Fantine Huot
Anders Sandholm
Dipanjan Das
Mirella Lapata
63
47
0
01 Jul 2022
Neural Text Generation with Artificial Negative Examples
Neural Text Generation with Artificial Negative Examples
Keisuke Shirai
Kazuma Hashimoto
Akiko Eriguchi
Takashi Ninomiya
Shinsuke Mori
13
7
0
28 Dec 2020
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
Jiaxin Ju
Ming Liu
Longxiang Gao
Shirui Pan
68
13
0
19 Oct 2020
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance
  Generation
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation
Shaojie Jiang
Thomas Wolf
Christof Monz
Maarten de Rijke
33
11
0
26 Mar 2020
A Large-Scale Multi-Length Headline Corpus for Analyzing
  Length-Constrained Headline Generation Model Evaluation
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation
Yuta Hitomi
Yuya Taguchi
Hideaki Tamori
Ko Kikuta
Jiro Nishitoba
Naoaki Okazaki
Kentaro Inui
Manabu Okumura
31
9
0
28 Mar 2019
Data-driven Summarization of Scientific Articles
Data-driven Summarization of Scientific Articles
Nikola I. Nikolov
Michael Pfeiffer
Richard H. R. Hahnloser
MedIm
19
43
0
24 Apr 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
56
185
0
14 Nov 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
73
3,268
0
08 May 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel
Minh-Thang Luong
Peter J. Liu
Ron J. Weiss
Douglas Eck
35
255
0
03 Apr 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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