Large Scale Acquisition of Paraphrases for Learning Surface Patterns

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How researchers see this paper

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How Can We Know What Language Models Know? (2019, methodology): “While many methods could be used for paraphrasing (Romano et al., 2006; Bhagat and Ravichandran, 2008), we follow the simple method of using back-translation (Sennrich et al.”
A Survey of Paraphrasing and Textual Entailment Methods (2009, methodology): “21Brill’s (1992) POS tagger is well-known and publicly available.”
PPDB: The Paraphrase Database (2013, background): “Our results suggest that PPDB will be useful in a variety of NLP applications.”
Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods (2010, background): “Most recently, Bhagat and Ravichandran (2008) collect paraphras-tic patterns for relation extraction by applying semi-supervised paraphrase induction to a very large monolingual corpus.”
Knowledge-Based Textual Inference via Parse-Tree Transformations (2015, unknown): “…(Barzilay & McKeown , 2001; Barzilay & Lee, 2003; Pang, Knight, & Marcu, 2003), by querying the Web (Ravichandran & Hovy, 2002; Szpektor et al., 2004), or from a local corpus (Lin & Pantel, 2001; Glickman & Dagan, 2003; Bhagat & Ravichandran, 2008; Szpektor & Dagan, 2008; Yates & Etzioni, 2009).”