Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains

no code implementations • IWCS (ACL) 2021 • Claire Bonial, Mitchell Abrams, David Traum, Clare Voss

We adopt, evaluate, and improve upon a two-step natural language understanding (NLU) pipeline that incrementally tames the variation of unconstrained natural language input and maps to executable robot behaviors.

Abstract Meaning Representation AMR Parsing +1

Social Norms Guide Reference Resolution

no code implementations • NAACL 2022 • Mitchell Abrams, Matthias Scheutz

Humans use natural language, vision, and context to resolve referents in their environment.

Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue

no code implementations • SCiL 2020 • Mitchell Abrams, Claire Bonial, Lucia Donatelli

Dialogue-AMR: Abstract Meaning Representation for Dialogue

no code implementations • LREC 2020 • Claire Bonial, Lucia Donatelli, Mitchell Abrams, Stephanie M. Lukin, Stephen Tratz, Matthew Marge, Ron artstein, David Traum, Clare Voss

This paper describes a schema that enriches Abstract Meaning Representation (AMR) in order to provide a semantic representation for facilitating Natural Language Understanding (NLU) in dialogue systems.

Abstract Meaning Representation Natural Language Understanding

B. Rex: a dialogue agent for book recommendations

no code implementations • WS 2019 • Mitchell Abrams, Luke Gessler, Matthew Marge

We present B. Rex, a dialogue agent for book recommendations.

The Coptic Universal Dependency Treebank

no code implementations • WS 2018 • Amir Zeldes, Mitchell Abrams

This paper presents the Coptic Universal Dependency Treebank, the first dependency treebank within the Egyptian subfamily of the Afro-Asiatic languages.