The Alexa Meaning Representation Language

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, fine-grained 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.

[1]  Mitchell P. Marcus,et al.  OntoNotes: The 90% Solution , 2006, NAACL.

[2]  Jacob Andreas,et al.  Parsing Graphs with Hyperedge Replacement Grammars , 2013, ACL.

[3]  Philipp Koehn,et al.  Abstract Meaning Representation for Sembanking , 2013, LAW@ACL.

[4]  John B. Lowe,et al.  The Berkeley FrameNet Project , 1998, ACL.

[5]  Ron Artstein,et al.  Anaphoric Annotation in the ARRAU Corpus , 2008, LREC.

[6]  Mark Steedman,et al.  CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank , 2007, CL.

[7]  Raymond J. Mooney,et al.  Learning for Semantic Parsing with Statistical Machine Translation , 2006, NAACL.

[8]  Percy Liang,et al.  Lambda Dependency-Based Compositional Semantics , 2013, ArXiv.

[9]  Gökhan Tür,et al.  The AT&T spoken language understanding system , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Johan Bos,et al.  The Groningen Meaning Bank , 2013, JSSP.

[11]  Emma Strubell,et al.  Multi-Task Learning For Parsing The Alexa Meaning Representation Language , 2018, AAAI.

[12]  Xiaochang Peng,et al.  Addressing the Data Sparsity Issue in Neural AMR Parsing , 2017, EACL.

[13]  Praveen Paritosh,et al.  Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.

[14]  James F. Allen,et al.  The Trains 91 Dialogues , 1993 .

[15]  Sampo Pyysalo,et al.  Universal Dependencies v1: A Multilingual Treebank Collection , 2016, LREC.