A Monolingual Tree-based Translation Model for Sentence Simplification

By Zhemin Zhu, Delphine Bernhard, Iryna Gurevych. 2010

452 citations recorded by the source corpus.

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Citations in the corpus

A Recipe for Arbitrary Text Style Transfer with Large Language Models (2021, background): “Although style transfer has garnered increased interest due to the success of deep learning, these approaches usually require a substantial amount of labeled training examples, either as parallel text data (Zhu et al., 2010; Rao and Tetreault, 2018) or non-parallel text data of a single style.”
Optimizing Statistical Machine Translation for Text Simplification (2016, methodology): “…black box (Coster and Kauchak, 2011a,b; Narayan and Gardent, 2014; Angrosh et al., 2014; ˇStajner et al., 2015) or they have been limited to modifying only one aspect of it, such as the translation model (Zhu et al., 2010; Woodsend and Lapata, 2011) or the reranking component (Wubben et al., 2012).”
Neural CRF Model for Sentence Alignment in Text Simplification (2020, positive): “Previous work (Xu et al., 2015) has shown that Wikipedia is much noisier than the Newsela corpus.”
EASSE: Easier Automatic Sentence Simplification Evaluation (2019, methodology): “PWKP Zhu et al. (2010) automatically aligned sentences in 65,133 EW articles to their corresponding versions in Simple EW (SEW).”
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations (2020, background): “Most datasets for SS (Zhu et al., 2010; Coster and Kauchak, 2011; Hwang et al., 2015) consist of automatic sentence alignments between related articles in English Wikipedia (EW) and Simple English Wikipedia (SEW).”
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification (2018, unknown): “In terms of sentence aligned corpora for text simplification, different versions of aligned WikiSimple Wikipedia sentences have been used in NLP research (Zhu et al., 2010; Coster and Kauchak, 2011; Hwang et al., 2015).”
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases (2022, unknown): “Methods have automatically aligned English and Simple English Wikipedia articles (Zhu et al., 2010; Coster and Kauchak, 2011; Woodsend and Lapata, 2011; Kauchak, 2013; Zhang and Lapata, 2017).”
Assessing Relative Sentence Complexity using an Incremental CCG Parser (2016, methodology): “As evaluation data, we use W IKI and S IMPLE W IKI parallel sentence pairs collected by Hwang et al. (2015), a newer and larger version compared to Zhu et al. (2010)’s collection.”
FELIX: Flexible Text Editing Through Tagging and Insertion (2020, methodology): “Training is performed on WikiLarge, (Zhang and Lapata, 2017a) a large simpliﬁca-tion corpus which consists of a mixture of of three Wikipedia simpliﬁcation datasets collected by (Kauchak, 2013; Woodsend and Lapata, 2011; Zhu et al., 2010).”
Split and Rephrase (2017, methodology): “Finally, sentence (or text) simpliﬁcation aims to produce a text that is easier to understand (Siddharthan et al., 2004; Zhu et al., 2010; Woodsend and Lapata, 2011; Wubben et al., 2012; Narayan and Gardent, 2014; Xu et al., 2015; Narayan and Gardent, 2016; Zhang and La-pata, 2017).”
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer (2018, methodology): “In text simpliﬁcation, the availability of parallel data extracted from English Wikipedia and Simple Wikipedia (Zhu et al., 2010) led to the application of PBMT (Wubben et al., 2012a) and more recently NMT (Wang et al., 2016) models.”
BLEU is Not Suitable for the Evaluation of Text Simplification (2018, methodology): “For example, 63 % and 80 % of the test sentences are split by the systems of Woodsend and Lapata (2011) and Zhu et al. (2010), respectively (Narayan and Gardent, 2016).”
Problems in Current Text Simplification Research: New Data Can Help (2015, methodology): “The Parallel Wikipedia Simpliﬁcation (PWKP) corpus (Zhu et al., 2010) contains approximately 108,000 automatically aligned sentence pairs from cross-linked articles between Simple and Normal English Wikipedia.”
Sentence Simplification by Monolingual Machine Translation (2012, methodology): “The data we use is the PWKP dataset created by Zhu et al. (2010).”
Encode, Tag, Realize: High-Precision Text Editing (2019, methodology): “A simple instance of this type are sentence com- pression systems that apply a drop operation at the token/phrase level (Filippova and Strube, 2008; Filippova et al., 2015), while more intricate systems also apply splitting, reordering, and lexical substitution (Zhu et al., 2010).”
Sentence Simplification with Deep Reinforcement Learning (2017, methodology): “Simpliﬁcation rewrites are learned automatically from examples of complex-simple sentences extracted from online resources such as the ordinary and simple English Wikipedia.”