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Exploring Neural Text Simplification Models
Sergiu Nisioi
|
Sanja Štajner
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Simone Paolo Ponzetto
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Liviu P. Dinu
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Data-Driven Text Simplification
Sanja Štajner
|
Horacio Saggion
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Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Katharina Kann
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Hinrich Schütze
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A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Mounica Maddela
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Wei Xu
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Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
Fernando Alva-Manchego
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Joachim Bingel
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Gustavo Paetzold
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Carolina Scarton
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Lucia Specia
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Simplified Corpus with Core Vocabulary
Takumi Maruyama
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Kazuhide Yamamoto
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A Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification
Sanja Štajner
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Sergiu Nisioi
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SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain
Carolina Scarton
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Gustavo Paetzold
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Lucia Specia
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
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Xu Sun
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Wei Li
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Sujian Li
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Wenjie Li
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Xuancheng Ren
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QuickEdit: Editing Text & Translations by Crossing Words Out
David Grangier
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Michael Auli
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Sentence Simplification with Memory-Augmented Neural Networks
Tu Vu
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Baotian Hu
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Tsendsuren Munkhdalai
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Hong Yu
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Simple and Effective Text Simplification Using Semantic and Neural Methods
Elior Sulem
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Omri Abend
|
Ari Rappoport
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Learning Simplifications for Specific Target Audiences
Carolina Scarton
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Lucia Specia
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From Shakespeare to Twitter: What are Language Styles all about?
Wei Xu
|
https://doi.org/10.18653/v1/P17-2014
https://doi.org/10.18653/v1/P17-2014
https://github.com/
http://www.cs.pomona.edu/
https://github.com/cocoxu/
https://github.com/
http://arxiv.org/abs/1409.0473
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Machine Translation
Text Simplification
Language
English
Dataset
News
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