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Controllable Text Simplification with Explicit Paraphrasing

Controllable Text Simplification with Explicit Paraphrasing

21 October 2020
Mounica Maddela
Fernando Alva-Manchego
W. Xu
ArXivPDFHTML

Papers citing "Controllable Text Simplification with Explicit Paraphrasing"

16 / 16 papers shown
Title
Learning to Paraphrase Sentences to Different Complexity Levels
Learning to Paraphrase Sentences to Different Complexity Levels
Alison Chi
Li-Kuang Chen
Yi-Chen Chang
Shu-Hui Lee
Jason J. S. Chang
19
10
0
04 Aug 2023
Revisiting non-English Text Simplification: A Unified Multilingual
  Benchmark
Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
Michael Joseph Ryan
Tarek Naous
Wei-ping Xu
24
24
0
25 May 2023
Controlling Pre-trained Language Models for Grade-Specific Text
  Simplification
Controlling Pre-trained Language Models for Grade-Specific Text Simplification
Sweta Agrawal
Marine Carpuat
19
14
0
24 May 2023
Teaching the Pre-trained Model to Generate Simple Texts for Text
  Simplification
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
Renliang Sun
Wei-ping Xu
Xiaojun Wan
CLL
14
16
0
21 May 2023
Context-Aware Document Simplification
Context-Aware Document Simplification
Liam Cripwell
Joël Legrand
Claire Gardent
16
5
0
10 May 2023
Paraphrase Detection: Human vs. Machine Content
Paraphrase Detection: Human vs. Machine Content
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
DeLMO
16
12
0
24 Mar 2023
Med-EASi: Finely Annotated Dataset and Models for Controllable
  Simplification of Medical Texts
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Chandrayee Basu
Rosni Vasu
Michihiro Yasunaga
Qiang Yang
19
16
0
17 Feb 2023
SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis
SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis
Imtiaz Karim
Kazi Samin Mubasshir
Mirza Masfiqur Rahman
Elisa Bertino
17
22
0
22 Jan 2023
(Psycho-)Linguistic Features Meet Transformer Models for Improved
  Explainable and Controllable Text Simplification
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
Yu Qiao
Xiaofei Li
Daniel Wiechmann
E. Kerz
19
4
0
19 Dec 2022
Cognitive Simplification Operations Improve Text Simplification
Cognitive Simplification Operations Improve Text Simplification
Eytan Chamovitz
Omri Abend
19
4
0
16 Nov 2022
Evaluating Factuality in Text Simplification
Evaluating Factuality in Text Simplification
Ashwin Devaraj
William Sheffield
Byron C. Wallace
Junyi Jessy Li
HILM
11
41
0
15 Apr 2022
GRS: Combining Generation and Revision in Unsupervised Sentence
  Simplification
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
Mohammad Dehghan
Dhruv Kumar
Lukasz Golab
13
12
0
18 Mar 2022
Document-Level Text Simplification: Dataset, Criteria and Baseline
Document-Level Text Simplification: Dataset, Criteria and Baseline
Renliang Sun
Hanqi Jin
Xiao-Yi Wan
11
44
0
11 Oct 2021
BiSECT: Learning to Split and Rephrase Sentences with Bitexts
BiSECT: Learning to Split and Rephrase Sentences with Bitexts
Joongwon Kim
Mounica Maddela
Reno Kriz
Wei-ping Xu
Chris Callison-Burch
54
25
0
10 Sep 2021
Split and Rephrase: Better Evaluation and a Stronger Baseline
Split and Rephrase: Better Evaluation and a Stronger Baseline
Roee Aharoni
Yoav Goldberg
MoE
215
45
0
02 May 2018
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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