Book Reviews: The Syntactic Process
By Mark Steedman. International Conference on Computational Logic, 2001
659 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1acbf74193e6329b6fa8169f066e02ae4fc18dd2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- David Reitter
- Qun Liu
- Dipendra Kumar Misra
- Jaeyong Sung
- Morten H. Christiansen
- Simon Garrod
- Martin J. Pickering
- Ashutosh Saxena
Citations in the corpus
- Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions (2014, methodology): “Matuszek et al. (2012b) use probabilistic CCG parsers to convert natural language commands to a Robot Control Language (subset of typed-lambda calculi) such as given below.”
- Alignment and task success in spoken dialogue (2014, background): “One could object that active and passive constructions, for instance, are not semantically equivalent and carry different connotations and information statuses (Steedman, 2000).”
- The logic of syntactic priming and acceptability judgments (2016, unknown): “It also suggests that these are shallow and monostratal in a way that corresponds at least roughly to the assumptions of Culicover and Jackendoff (2005) and many other nontransformational theories (e.g., Gazdar et al. 1985; Goldberg 1995; Pollard & Sag 1994; Steedman 2000).”
- More Accurate Question Answering on Freebase (2015, methodology): “In [15], query candidates are derived by transforming an underspecified logical form of a CCG [21] parse.”
- Shortcut Sequence Tagging (2017, background): “Detailed explanations of CCG refer to (Steedman, 2000; Steedman and Baldridge, 2011).”
- DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task (2014, methodology): “In our experiment, we use CCG supertag (Steedman, 2000) as a contextual features.”
- Consequences of the Now-or-Never bottleneck for signed versus spoken languages (2015, background): “Steedman (2000) adopted a closely related perspective when introducing his combinatory categorial grammar, which aims to map surface structure directly onto logic-based semantic interpretations, given rich lexical representations of words that include information about phonological structure,…”
- Learning an Executable Neural Semantic Parser (2017, unknown): “Examples include lambda calculus (Montague 1973), which has been used by many semantic parsers (Zettlemoyer and Collins 2005; Kwiatkowksi et al. 2010; Reddy, Lapata, and Steedman 2014) because of its expressiveness and flexibil-ity to construct logical forms of great complexity; Combinatory Categoria”
- Toward a mechanistic psychology of dialogue (2004, background): “One linguistic approach that accords with this is Combinatorial Categorial Grammar (Steedman 2000; cf. Ades & Steedman 1982; Pickering & Barry 1993).”
- The neural architecture of language: Integrative modeling converges on predictive processing (2020, unknown): “Lakretz et al., 2020; Levy, 2008a, 2008b; Lewis et al., 2006; McDonald & Macwhinney, 1998; Smith & Levy, 2013; Spivey-88 Knowlton, 1996; Steedman, 2000; van Schijndel et al., 2013), and neural responses to linguistic input (Brennan et al., 2016; Brennan & Pylkkänen, 2017; Ding et al., 2015; Frank…”
- Language as shaped by the brain. (2008, methodology): “Our approach suggests a different perspective inspired by the “lexical turn” in linguistics (e.g., Combinatory Categorical Grammar, Steedman 2000; Head-driven Phrase Structure Grammar, Sag & Pollard 1987; LexicalFunctionalist Grammar, Bresnan 1982), focusing on specific lexical items with their…”