Grounded Unsupervised Semantic Parsing

By Hoifung Poon. 2013

84 citations recorded by the source corpus.

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In Natural Language Processing

Citations in the corpus

Semantic Parsing on Freebase from Question-Answer Pairs (2013, methodology): “Rather than using head-modifier information from dependency trees (Branavan et al., 2012; Krishnamurthy and Mitchell, 2012; Cai and Yates, 2013; Poon, 2013), we can learn the appropriate relationships tailored for downstream accuracy.”
SPoC: Search-based Pseudocode to Code (2019, background): “While some semantic parsers operate by modifying the linguistic structure of the utterance [38, 40], most parsers construct the parse incrementally from scratch.”
Neural Programmer: Inducing Latent Programs with Gradient Descent (2015, methodology): “Poon (2013) develop an unsupervised method for semantic parsing, which requires many pre-processing steps including dependency parsing and mapping from words to operations.”
Language to Logical Form with Neural Attention (2016, neutral): “Tables 2–4 present comparisons against a variety of systems previously described Method Accuracy SCISSOR (Ge and Mooney, 2005) 72.3 KRISP (Kate and Mooney, 2006) 71.7 WASP (Wong and Mooney, 2006) 74.8 λ -WASP (Wong and Mooney, 2007) 86.6 LNLZ08 (Lu et al., 2008) 81.8 ZC05 (Zettlemoyer and Collins, 2”
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base (2015, neutral): “Similar ideas have also been explored in (Poon, 2013).”
Learning a Neural Semantic Parser from User Feedback (2017, methodology): “A few systems have been developed to directly generate SQL queries from natural language (Popescu et al., 2003; Giordani and Mos-chitti, 2012; Poon, 2013).”
Coarse-to-Fine Decoding for Neural Semantic Parsing (2018, neutral): “8 GUSP++ (Poon, 2013) — 83.”
Large-scale Semantic Parsing without Question-Answer Pairs (2014, background): “2011; Artzi and Zettlemoyer, 2013), via distant supervision (Krishnamurthy and Mitchell, 2012; Cai and Yates, 2013), from questions (Goldwasser et al., 2011; Poon, 2013; Fader et al., 2013), and question-answer pairs (Clarke et al., 2010; Liang et al., 2011).”
Probabilistic Models for Learning a Semantic Parser Lexicon (2016, background): “A practical compromise is to combine a (possibly minimal) lexicon with ﬂexible parsing operations (Liang et al., 2011; Zettlemoyer and Collins, 2007; Poon, 2013; Parikh et al., 2015).”
Multi-Resolution Language Grounding with Weak Supervision (2014, background): “A few unsupervised approaches exist (Poon and Domingos, 2009; Poon, 2013), but these are speciﬁc to translating language into queries in highly structured database and cannot be applied to our more ﬂexible domain.”
Robust Text-to-SQL Generation with Execution-Guided Decoding (2018, background): “Developing effective semantic parsers to translate natural language questions into logical programs has been a long-standing goal (Poon 2013; Zettlemoyer and Collins 2005; Pasupat and Liang 2015; Li, Yang, and Jagadish 2005; Gulwani and Marron 2014).”
NLyze: interactive programming by natural language for spreadsheet data analysis and manipulation (2014, methodology): “The idea of semantic parsing, which has been explored in the Natural Language Processing (NLP) community [28, 32, 42] and the Database (DB) community [11, 21, 33], is to use a set of rules to translate well-formed sentences into their corresponding logical representations.”
Knowledge-Based Question Answering as Machine Translation (2014, methodology): “…an independent semantic parser (Zettlemoyer and Collins, 2005; Mooney, 2007; Artzi and Zettle-moyer, 2011; Liang et al., 2011; Cai and Yates, 2013; Poon, 2013; Artzi et al., 2013; Kwiatkowski et al., 2013; Berant et al., 2013); Then, the answers are retrieved from existing KBs using generated MRs…”
Transforming Dependency Structures to Logical Forms for Semantic Parsing (2016, background): “…going through an intermediate semantic representation, e.g., answer-sentence selection (Punyakanok et al., 2004; Heilman and Smith, 2010; Yao et al., 2013) and semantic parsing (Ge and Mooney, 2009; Poon, 2013; Parikh et al., 2015; Xu et al., 2015; Wang et al., 2015; Andreas and Klein, 2015).”
Broad-coverage CCG Semantic Parsing with AMR (2015, background): “…et al., 2013), sentences paired with demonstrations (Goldwasser and Roth, 2011; Chen and Mooney, 2011), conversational logs (Artzi and Zettlemoyer, 2011), distant supervision (Krishnamurthy and Mitchell, 2012, 2015; Reddy et al., 2014) and without explicit semantic supervision (Poon, 2013).”
Semantic Parsing with Dual Learning (2019, unknown): “8 GUSP++ (Poon, 2013) 83.”