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Abstract Meaning Representation (AMR)

Abstract Meaning Representation (AMR) is a semantic formalism that maps natural language sentences into rooted, directed acyclic graphs representing logical 'who is doing what to whom' structures. In AI agents, it serves as an intermediary layer to decouple intent from syntax, allowing for high-precision query decomposition and semantic matching that traditional embeddings might miss.

Definition

Abstract Meaning Representation (AMR) is a semantic formalism that maps natural language sentences into rooted, directed acyclic graphs representing logical 'who is doing what to whom' structures. In AI agents, it serves as an intermediary layer to decouple intent from syntax, allowing for high-precision query decomposition and semantic matching that traditional embeddings might miss.

Disambiguation

AMR represents the logical 'meaning' of a single sentence, whereas a Knowledge Graph represents facts across an entire corpus.

Visual Metaphor

"A Logic Blueprint: A structural schematic of a building's utility layout that remains the same regardless of the architectural style or paint color used on the exterior."

Key Tools
amrlibPenmanSmatchspaCy-AMRTransition-based parsers
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Conceptual Overview

Abstract Meaning Representation (AMR) is a semantic formalism that maps natural language sentences into rooted, directed acyclic graphs representing logical 'who is doing what to whom' structures. In AI agents, it serves as an intermediary layer to decouple intent from syntax, allowing for high-precision query decomposition and semantic matching that traditional embeddings might miss.

Disambiguation

AMR represents the logical 'meaning' of a single sentence, whereas a Knowledge Graph represents facts across an entire corpus.

Visual Analog

A Logic Blueprint: A structural schematic of a building's utility layout that remains the same regardless of the architectural style or paint color used on the exterior.

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