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Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
v1v2 (latest)

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
19 August 2019
Alexey Tikhonov
Viacheslav Shibaev
Aleksander Nagaev
Aigul Nugmanova
Ivan P. Yamshchikov
ArXiv (abs)PDFHTML

Papers citing "Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites"

23 / 23 papers shown
Out of style: Misadventures with LLMs and code style transfer
Out of style: Misadventures with LLMs and code style transfer
Karl Munson
Chih-Kai Ting
Serenity Wade
Anish Savla
Julian T Dolby
Kiran Kate
Kavitha Srinivas
154
0
0
14 Jun 2024
Socratic Reasoning Improves Positive Text Rewriting
Socratic Reasoning Improves Positive Text Rewriting
Anmol Goel
Nico Daheim
Iryna Gurevych
Iryna Gurevych
LRM
356
6
0
05 Mar 2024
Towards an On-device Agent for Text Rewriting
Towards an On-device Agent for Text Rewriting
Yun Zhu
Yinxiao Liu
Felix Stahlberg
Shankar Kumar
Yu-hui Chen
Liangchen Luo
Lei Shu
Renjie Liu
Jindong Chen
Lei Meng
LLMAG
210
10
0
22 Aug 2023
A Call for Standardization and Validation of Text Style Transfer
  Evaluation
A Call for Standardization and Validation of Text Style Transfer EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Phil Ostheimer
Mayank Nagda
Matthias Kirchler
Sophie Fellenz
379
18
0
01 Jun 2023
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
RewriteLM: An Instruction-Tuned Large Language Model for Text RewritingAAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Shu
Liangchen Luo
Jayakumar Hoskere
Yun Zhu
Canoee Liu
Simon Tong
Jindong Chen
Lei Meng
KELMLRM
355
81
0
25 May 2023
SimpleStyle: An Adaptable Style Transfer Approach
SimpleStyle: An Adaptable Style Transfer Approach
Elron Bandel
Yoav Katz
Noam Slonim
L. Ein-Dor
170
0
0
20 Dec 2022
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate
  Representation
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Anubhav Jangra
Preksha Nema
A. Raghuveer
182
8
0
03 Dec 2022
Exploring Code Style Transfer with Neural Networks
Exploring Code Style Transfer with Neural Networks
Karl Munson
Anish Savla
Chih-Kai Ting
Serenity Wade
Kiran Kate
Kavitha Srinivas
CLIP
211
1
0
13 Sep 2022
Human Judgement as a Compass to Navigate Automatic Metrics for Formality
  Transfer
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer
Huiyuan Lai
Jiali Mao
Antonio Toral
Malvina Nissim
216
15
0
15 Apr 2022
From Theories on Styles to their Transfer in Text: Bridging the Gap with
  a Hierarchical Survey
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical SurveyNatural Language Engineering (NLE), 2021
Enrica Troiano
Aswathy Velutharambath
Roman Klinger
463
11
0
29 Oct 2021
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in
  Multilingual Formality Transfer
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality TransferConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Eleftheria Briakou
Sweta Agrawal
Joel R. Tetreault
Marine Carpuat
211
36
0
20 Oct 2021
Few-shot Controllable Style Transfer for Low-Resource Multilingual
  Settings
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
Kalpesh Krishna
Deepak Nathani
Xavier Garcia
Bidisha Samanta
Partha P. Talukdar
292
27
0
14 Oct 2021
Rethinking Crowd Sourcing for Semantic Similarity
Rethinking Crowd Sourcing for Semantic Similarity
Shaul Solomon
Adam Cohn
Hernan Rosenblum
Chezi Hershkovitz
Ivan P. Yamshchikov
184
2
0
24 Sep 2021
DYPLODOC: Dynamic Plots for Document Classification
DYPLODOC: Dynamic Plots for Document Classification
Anastasia Malysheva
Alexey Tikhonov
Ivan P. Yamshchikov
169
5
0
26 Jul 2021
A Novel Estimator of Mutual Information for Learning to Disentangle
  Textual Representations
A Novel Estimator of Mutual Information for Learning to Disentangle Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Pierre Colombo
Chloé Clavel
Pablo Piantanida
AAMLDRL
337
53
0
06 May 2021
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text
  Style Transfer
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style TransferIEEE International Joint Conference on Neural Network (IJCNN), 2021
Jicheng Li
Yang Feng
Jiao Ou
DiffM
226
2
0
27 Apr 2021
XFORMAL: A Benchmark for Multilingual Formality Style Transfer
XFORMAL: A Benchmark for Multilingual Formality Style TransferNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Eleftheria Briakou
Di Lu
Ke Zhang
Joel R. Tetreault
225
63
0
08 Apr 2021
Empirical Evaluation of Supervision Signals for Style Transfer Models
Empirical Evaluation of Supervision Signals for Style Transfer Models
Yevgeniy Puzikov
Simoes Stanley
Iryna Gurevych
Immanuel Schweizer
136
0
0
15 Jan 2021
ReviewRobot: Explainable Paper Review Generation based on Knowledge
  Synthesis
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang
Qi Zeng
Lifu Huang
Kevin Knight
Heng Ji
Nazneen Rajani
325
73
0
13 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
367
268
0
12 Oct 2020
Stylized Dialogue Response Generation Using Stylized Unpaired Texts
Stylized Dialogue Response Generation Using Stylized Unpaired TextsAAAI Conference on Artificial Intelligence (AAAI), 2020
Yinhe Zheng
Zikai Chen
Rongsheng Zhang
Shilei Huang
Xiaoxi Mao
Shiyu Huang
247
28
0
27 Sep 2020
Improving GAN Training with Probability Ratio Clipping and Sample
  Reweighting
Improving GAN Training with Probability Ratio Clipping and Sample ReweightingNeural Information Processing Systems (NeurIPS), 2020
Yue Wu
Pan Zhou
A. Wilson
Eric Xing
Zhiting Hu
GAN
403
36
0
12 Jun 2020
Style-transfer and Paraphrase: Looking for a Sensible Semantic
  Similarity Metric
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity MetricAAAI Conference on Artificial Intelligence (AAAI), 2020
Ivan P. Yamshchikov
Viacheslav Shibaev
Nikolay Khlebnikov
Alexey Tikhonov
VLM
270
38
0
10 Apr 2020
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