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A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation
Sanja Štajner
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Hannah Béchara
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Horacio Saggion
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings
Tomoyuki Kajiwara
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Mamoru Komachi
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Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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BLEU is Not Suitable for the Evaluation of Text Simplification
Elior Sulem
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Omri Abend
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Ari Rappoport
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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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CATS: A Tool for Customized Alignment of Text Simplification Corpora
Sanja Štajner
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Marc Franco-Salvador
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Paolo Rosso
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Simone Paolo Ponzetto
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Semantic Structural Evaluation for Text Simplification
Elior Sulem
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Omri Abend
|
Ari Rappoport
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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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Exploring Neural Text Simplification Models
Sergiu Nisioi
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Sanja Štajner
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Simone Paolo Ponzetto
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Liviu P. Dinu
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Sentence Alignment Methods for Improving Text Simplification Systems
Sanja Štajner
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Marc Franco-Salvador
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Simone Paolo Ponzetto
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Paolo Rosso
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Heiner Stuckenschmidt
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Simple and Effective Text Simplification Using Semantic and Neural Methods
Elior Sulem
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Omri Abend
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Ari Rappoport
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Optimizing Statistical Machine Translation for Text Simplification
Wei Xu
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Courtney Napoles
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Ellie Pavlick
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Quanze Chen
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Chris Callison-Burch
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Translating from Original to Simplified Sentences using Moses: When does it Actually Work?
Sanja Štajner
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Horacio Saggion
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http://www.cs.middlebury.edu/
http://www.cs.columbia.edu/
http://www.cs.middlebury.edu/
http://www.cs.middlebury.edu/
Field Of Study
Task
Machine Translation
Text Simplification
Language
English
Spanish
French
Dataset
Encyclopedia
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