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Enriching Transformers with Structured Tensor-Product Representations
  for Abstractive Summarization

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

2 June 2021
Yichen Jiang
Asli Celikyilmaz
P. Smolensky
Paul Soulos
Sudha Rao
Hamid Palangi
Roland Fernandez
Caitlin Smith
Joey Tianyi Zhou
Jianfeng Gao
ArXivPDFHTML

Papers citing "Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization"

22 / 22 papers shown
Title
FEQA: A Question Answering Evaluation Framework for Faithfulness
  Assessment in Abstractive Summarization
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus
He He
Mona T. Diab
HILM
91
395
0
07 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
79
1,035
0
02 May 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
278
2,049
0
18 Dec 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
79
44
0
21 Oct 2019
Enhancing the Transformer with Explicit Relational Encoding for Math
  Problem Solving
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag
P. Smolensky
Roland Fernandez
Nebojsa Jojic
Jürgen Schmidhuber
Jianfeng Gao
73
52
0
15 Oct 2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff
Kaiqiang Song
Franck Dernoncourt
Doo Soon Kim
Seokhwan Kim
W. Chang
Fei Liu
CVBM
100
105
0
31 May 2019
Hierarchical Transformers for Multi-Document Summarization
Hierarchical Transformers for Multi-Document Summarization
Yang Liu
Mirella Lapata
108
297
0
30 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
175
861
0
15 May 2019
BERT Rediscovers the Classical NLP Pipeline
BERT Rediscovers the Classical NLP Pipeline
Ian Tenney
Dipanjan Das
Ellie Pavlick
MILM
SSeg
138
1,471
0
15 May 2019
Learning to Reason with Third-Order Tensor Products
Learning to Reason with Third-Order Tensor Products
Imanol Schlag
Jürgen Schmidhuber
NAI
53
64
0
29 Nov 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
126
1,676
0
27 Aug 2018
Structure-Infused Copy Mechanisms for Abstractive Summarization
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
Lin Zhao
Fei Liu
73
76
0
14 Jun 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive
  Strategies
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
Mor Naaman
Yoav Artzi
88
556
0
30 Apr 2018
Multi-Reward Reinforced Summarization with Saliency and Entailment
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
Joey Tianyi Zhou
56
201
0
17 Apr 2018
A Discourse-Aware Attention Model for Abstractive Summarization of Long
  Documents
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Seokhwan Kim
W. Chang
Nazli Goharian
470
761
0
16 Apr 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam M. Shazeer
Mitchell Stern
ODL
76
1,048
0
11 Apr 2018
Learning Structured Text Representations
Learning Structured Text Representations
Yang Liu
Mirella Lapata
61
152
0
25 May 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
199
1,558
0
11 May 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
298
4,019
0
14 Apr 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,494
0
21 Jul 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
347
3,547
0
10 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
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