2018 TheAlexaMeaningRepresentationLa

• (Kollar et al., 2018) ⇒ Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak, Tagyoung Chung, Lambert Mathias, Michael Kayser, Bradford Snow, and Spyros Matsoukas. (2018). “The Alexa Meaning Representation Language.” In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-2018).

Subject Headings: Alexa Meaning Representation Language (AMRL), Spoken Language Annotation.

Cited By

• http://scholar.google.com/scholar?q=%222018%22+The+Alexa+Meaning+Representation+Language

Quotes

Abstract

This paper introduces a meaning representation for spoken language understanding. The Alexa meaning representation language (AMRL), unlike previous approaches, which factor spoken utterances into domains, provides a common representation for how people communicate in spoken language. AMRL is a rooted graph, links to a large-scale ontology, supports cross-domain queries, finegrained types, complex utterances and composition. A spoken language dataset has been collected for Alexa, which contains � 20k examples across eight domains. A version of this meaning representation was released to developers at a trade show in 2016.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2018 TheAlexaMeaningRepresentationLa	Thomas Kollar Danielle Berry Lauren Stuart Karolina Owczarzak Tagyoung Chung Lambert Mathias Michael Kayser Bradford Snow Spyros Matsoukas			The Alexa Meaning Representation Language