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.
no code implementations • WS 2019 • Stephen Tratz
Crowdsourcing is frequently employed to quickly and inexpensively obtain valuable linguistic annotations but is rarely used for parsing, likely due to the perceived difficulty of the task and the limited training of the available workers.
no code implementations • WS 2019 • Claire Bonial, Lucia Donatelli, Stephanie M. Lukin, Stephen Tratz, Ron artstein, David Traum, Clare Voss
We detail refinements made to Abstract Meaning Representation (AMR) that make the representation more suitable for supporting a situated dialogue system, where a human remotely controls a robot for purposes of search and rescue and reconnaissance.
no code implementations • COLING 2018 • Jamal Laoudi, Claire Bonial, Lucia Donatelli, Stephen Tratz, Clare Voss
In this paper, we explore the challenges of building a computational lexicon for Moroccan Darija (MD), an Arabic dialect spoken by over 32 million people worldwide but which only recently has begun appearing frequently in written form in social media.
no code implementations • LREC 2016 • Alexa Little, Stephen Tratz
This paper introduces EasyTree, a dynamic graphical tool for dependency tree annotation.
no code implementations • LREC 2014 • Clare Voss, Stephen Tratz, Jamal Laoudi, Douglas Briesch
Recent computational work on Arabic dialect identification has focused primarily on building and annotating corpora written in Arabic script.