Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus

By Yuk Wah Wong, Raymond J. Mooney. 2007

372 citations recorded by the source corpus.

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Citations in the corpus

Semantic Parsing on Freebase from Question-Answer Pairs (2013, background): “Traditional semantic parsers (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Wong and Mooney, 2007; Kwiatkowski et al., 2010) have two limitations: (i) they require annotated logical forms as supervision, and (ii) they operate in limited domains with a small number of logical predicates.”
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning (2017, background): “In semantic parsing for question answering (QA), natural language questions are parsed into logical forms that are then executed on a knowledge graph (Zelle & Mooney, 1996; Wong & Mooney, 2007; Zettlemoyer & Collins, 2005; 2007).”
Learning Dependency-Based Compositional Semantics (2011, methodology): “Supervised semantic parsers (Zelle and Mooney, 1996; Tang and Mooney, 2001; Ge and Mooney, 2005; Zettlemoyer and Collins, 2005; Kate and Mooney, 2007; Zettlemoyer and Collins, 2007; Wong and Mooney, 2007; Kwiatkowski et al., 2010) rely on manual annotation of logical forms, which is expensive.”
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions (2013, methodology): “[N : λx.v(x)], that defines the rest of the category by abstracting over logical constants.”
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task (2018, neutral): “They have been studied extensively (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Wong and Mooney, 2007; Das et al., 2010; Liang et al., 2011; Banarescu et al., 2013; Artzi and Zettlemoyer, 2013; Reddy et al., 2014; Berant and Liang, 2014; Dong and Lapata, 2016).”
Learning to Compose Neural Networks for Question Answering (2016, background): “base question answering, in which strings are mapped to logical forms, then evaluated by a black-box execution model to produce answers. Supervision may be provided either by annotated logical forms (Wong and Mooney, 2007; Kwiatkowski et al., 2010; Andreas et al., 2013) or from (world, question, ans”
Compositional Semantic Parsing on Semi-Structured Tables (2015, background): “, 2011) usually cover a smaller scope of operations and compositionality, while early statistical semantic parsers for question answering (Wong and Mooney, 2007; Zettlemoyer and Collins, 2007) and high-accuracy natural language interfaces for databases (Androutsopoulos et al.”
A Joint Model of Language and Perception for Grounded Attribute Learning (2012, background): “There has been signiﬁcant work on supervised learning for inducing semantic parsers (Zelle & Mooney, 1996; He & Young, 2006; Wong & Mooney, 2007).”
Data Recombination for Neural Semantic Parsing (2016, methodology): “It is instructive to compare our SCFG-based data recombination with W ASP (Wong and Mooney, 2006; Wong and Mooney, 2007), which uses an SCFG as the actual semantic parsing model.”
Semantic Parsing via Paraphrasing (2014, background): “We consider the semantic parsing problem of mapping natural language utterances into logical forms to be executed on a knowledge base (KB) (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Wong and Mooney, 2007; Kwiatkowski et al., 2010).”
Scaling Semantic Parsers with On-the-Fly Ontology Matching (2013, methodology): “Each derivation d = 〈Π,M〉 builds a logical form y using constants from the ontology O. Π is a CCG parse tree that maps x to an underspecified logical form l0.”
Language to Logical Form with Neural Attention (2016, methodology): “…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, 2005) 79.3 ZC07 (Zettlemoyer and Collins, 2007) 86.1 UBL…”
Building a Semantic Parser Overnight (2015, background): “Recent work has made signiﬁcant strides in reducing supervision from logical forms (Zettle-moyer and Collins, 2005; Wong and Mooney, 2007) to denotations (Clarke et al., 2010; Liang et al., 2011) and to weaker forms (Artzi and Zettle-moyer, 2011; Reddy et al., 2014).”
Learning Language Games through Interaction (2016, background): “…connecting the utter-ance and the logical form, in contrast to most traditional work in semantic parsing (Zettlemoyer and Collins, 2005; Wong and Mooney, 2007; Liang et al., 2011; Kwiatkowski et al., 2010; Berant et al., 2013), instead following a looser model of semantics similar to…”
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning (2015, background): “Another type of semantic parsing work (Zelle & Mooney, 1996; Zettlemoyer & Collins, 2005; Zettlemoyer & Collins, 2007; Wong & Mooney, 2007; Cai & Yates, 2013; Berant et al., 2013; Kwiatkowski et al., 2013; Berant & Liang, 2014) maps NL text into logical forms by supervised or semi-supervised…”
Information Extraction over Structured Data: Question Answering with Freebase (2014, background): “…combinatory categorial grammar (Zettlemoyer and Collins, 2005, 2007, 2009; Kwiatkowski et al., 2010, 2011, 2013), synchronous context-free grammars (Wong and Mooney, 2007), dependency trees (Liang et al., 2011; Berant et al., 2013), string kernels (Kate and Mooney, 2006; Chen and Mooney, 2011),…”
Reading to Learn: Constructing Features from Semantic Abstracts (2009, neutral): “This is similar to work on Geo-Query (Wong and Mooney, 2007; Ge and Mooney, 2005), and also to recent work on following step-by-step directions (Branavan et al., 2009).”
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables (2017, background): “…formalisms such as Combinatory Categorial Grammar (Zettlemoyer 1516 and Collins, 2005, 2007; Kwiatkowski et al., 2011, 2013; Krishnamurthy and Mitchell, 2012; Artzi and Zettlemoyer, 2013) and others (Liang et al., 2011; Berant et al., 2013; Zhao and Huang, 2015; Wong and Mooney, 2006, 2007).”
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems (2016, methodology): “ng supervision. Prior to the works of Liang et al. (2009) and Clarke et al. (2010), semantic parsers were trained using annotated logical forms (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Wong and Mooney, 2007, inter alia), which were expensive to annotate. Recently, Yih et al. (2016) sh”