Syntactic Simplification and Text Cohesion

By Advaith Siddharthan. 2006

336 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/090f4b588ba58c36a21eddd67ea33d59614480c1

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In Artificial Intelligence

Citations in the corpus

Sentence Simplification with Deep Reinforcement Learning (2017, methodology): “…syntactic sim-pliﬁcation only, using rules aimed at sentence splitting (Carroll et al., 1999; Chandrasekar et al., 1996; Vickrey and Koller, 2008; Siddharthan, 2004) while others turned to lexical simpliﬁcation by substituting difﬁcult words with more common WordNet synonyms or paraphrases…”
A Monolingual Tree-based Translation Model for Sentence Simplification (2010, background): “Siddharthan (2006) and Petersen and Osten-dorf (2007) focus on sentence splitting, while sentence compression systems (Filippova and Strube, 2008a) mainly use the dropping operation.”
Problems in Current Text Simplification Research: New Data Can Help (2015, methodology): “Although discourse is known to affect readability, the relation between discourse and text simplification is still under-studied with the use of statistical methods (Williams et al., 2003; Siddharthan, 2006; Siddharthan and Katsos, 2010).”
Optimizing Statistical Machine Translation for Text Simplification (2016, methodology): “Most early work has relied on either hand-crafted rules (Chandrasekar et al., 1996; Carroll et al., 1999; Siddharthan, 2006; Vick-rey and Koller, 2008) or dictionaries like WordNet (Devlin et al., 1999; Kaji et al., 2002; Inui et al., 2003).”
Revisiting Readability: A Unified Framework for Predicting Text Quality (2008, background): “and McKeown, 2003) and can be exploited for improving and predicting text coherence (Siddharthan, 2003; Nenkova and McKeown, 2003; Elsner and Charniak, 2008).”
Neural CRF Model for Sentence Alignment in Text Simplification (2020, neutral): “There is a long line of research using methods based on hand-crafted rules (Siddharthan, 2006; Niklaus et al., 2019), statistical machine translation (Narayan and Gardent, 2014; Xu et al., 2016; Wubben et al., 2012), or neural seq2seq models (Zhang and Lapata, 2017; Zhao et al., 2018; Nisioi et…”
Universal Conceptual Cognitive Annotation (UCCA) (2013, background): “, for second language teaching) (Siddharthan, 2006), paraphrase detection (Dolan et al.”