Minimal Recursion Semantics: An Introduction

By Ann A. Copestake, Dan Flickinger, C. Pollard, Ivan A. Sag. 2005

1,253 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Language and Linguistics, Natural Language Processing

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Citations in the corpus

ShapeWorld - A new test methodology for multimodal language understanding (2017, methodology): “We utilize semantic representations based on Minimal Recursion Semantics (Copestake et al., 2005) and broad-coverage, grammarbased realization driven by the English Resource Grammar (Flickinger, 2000) to make the internal world model compatible with language.”
Solving logic puzzles: From robust processing to precise semantics (2004, neutral): “The approach is similar to MRS (Copestake et al., 2003).”
Deep Semantic Analysis of Text (2008, background): “We have developed an efﬁcient quantiﬁer scoping algorithm on this LFL that constructs possible fully-scoped forms in the reference logic, and we can prove that we derive the same sets of possible interpretations as the representations constructed by MRS (Manshadi et al., 2008).”
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets (2020, methodology): “An ERG parse result includes an HPSG syntax tree and a seman-2 http://sweaglesw.org/linguistics/ace/ tic representation in Minimal Recursion Semantics (MRS, Copestake et al. 2005).”
Disambiguating quantifier scope in DTS (2009, background): “Underspeciﬁed Discourse Representation Theory [19], Hole Semantics [5], the approach of [25], Constraint Language for Lambda Structures (CLLS) [12], and Minimal Recursion Semantics (MRS) [10], belong to this approach.”
Resources for building applications with Dependency Minimal Recursion Semantics (2016, background): “• MRS well-formedness: A DMRS meets this condition if it can be converted into a well-formed MRS as deﬁned by Copestake et al. (2005).”
Satisfying Constraints on Extraction andAdjunction (2001, methodology): “Below, we will adopt the semantic architecture of minimal recursion semantics (Copestake et al., 1999), in which the semantics of a phrase is the union of the sets of semantic constraints and relations provided by the daughters.”
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation (2017, methodology): “For future work, we would like to extend our work to different meaning representations such as the Minimal Recursion Semantics (MRS; Copestake et al. (2005)).”
Tackling Winograd Schemas by Formalizing Relevance Theory in Knowledge Graphs (2014, background): “Equality constraints are inspired by constraints in Minimal Recursion Semantics (Copestake et al. 2005) which is a formalism for parsing natural language that allows ambiguous representations for unresolved pronouns as in WSs. Inequality constraints arise from syntactic principles of nat-ural langua”
Transforming Dependency Structures to Logical Forms for Semantic Parsing (2016, background): “The ordering is very similar to the obliqueness hierarchy in syntactic formalisms such as HPSG (Pollard and Sag, 1994).”
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (2017, background): “…Discourse Representation Theory (Kamp et al., 2011), the Rochester Inter-active Planning System (Allen et al., 2007), Minimal Recursion Semantics (Copestake et al., 2005), Episodic Logic (Schubert and Hwang, 2000), Combinatory Categorical Grammar (Steedman, 2000), Semantic Role Labeling (Gildea…”
Book Reviews: Ontology-Based Interpretation of Natural Language by Philipp Cimiano, Christina Unger and John McCrae (2014, methodology): “, Glue Semantics and UDRT as semantic composition formalism [van Genabith and Crouch, 1999], and Head-driven Phrase Structure Grammar (HPSG) [Levine and Meurers, 2006] with Minimal Recursion Semantics (MRS) [Copestake et al., 2005] as semantic formalism of choice.”
Discourse Representation Structure Parsing (2018, background): “, 2013), and minimal recursion semantics (Copestake et al., 2005).”
Deep Multitask Learning for Semantic Dependency Parsing (2017, background): “LinGO is a head-driven phrase structure grammar (HPSG; Pollard and Sag, 1994) with minimal recursion semantics (Copestake et al., 2005).”