Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue

no code implementations • 17 Oct 2017 • Claire Bonial, Matthew Marge, Ron artstein, Ashley Foots, Felix Gervits, Cory J. Hayes, Cassidy Henry, Susan G. Hill, Anton Leuski, Stephanie M. Lukin, Pooja Moolchandani, Kimberly A. Pollard, David Traum, Clare R. Voss

We describe the adaptation and refinement of a graphical user interface designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data.

Robot Navigation

New Dimensions in Testimony Demonstration

no code implementations • NAACL 2016 • Ron Artstein, Alesia Gainer, Kallirroi Georgila, Anton Leuski, Ari Shapiro, David Traum

DialEdit: Annotations for Spoken Conversational Image Editing

no code implementations • COLING 2018 • Ramesh Manuvirakurike, Jacqueline Brixey, Trung Bui, Walter Chang, Ron artstein, Kallirroi Georgila

Dialogue State Tracking

Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task

no code implementations • WS 2017 • Matthew Marge, Claire Bonial, Ashley Foots, Cory Hayes, Cassidy Henry, Kimberly Pollard, Ron artstein, Clare Voss, David Traum

Robot-directed communication is variable, and may change based on human perception of robot capabilities.

Lessons in Dialogue System Deployment

no code implementations • WS 2017 • Anton Leuski, Ron artstein

We analyze deployment of an interactive dialogue system in an environment where deep technical expertise might not be readily available.

SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS

no code implementations • WS 2017 • Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron artstein, Anton Leuski

We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS.

Chatbot Retrieval

Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil

no code implementations • WS 2016 • Satheesh Ravi, Ron artstein

Machine Translation Question Answering

Dialogue Structure Annotation for Multi-Floor Interaction

no code implementations • LREC 2018 • David Traum, Cassidy Henry, Stephanie Lukin, Ron artstein, Felix Gervits, Kimberly Pollard, Claire Bonial, Su Lei, Clare Voss, Matthew Marge, Cory Hayes, Susan Hill

The Niki and Julie Corpus: Collaborative Multimodal Dialogues between Humans, Robots, and Virtual Agents

no code implementations • LREC 2018 • Ron Artstein, Jill Boberg, Alesia Gainer, Jonathan Gratch, Emmanuel Johnson, Anton Leuski, Gale Lucas, David Traum

Chahta Anumpa: A multimodal corpus of the Choctaw Language

no code implementations • LREC 2018 • Jacqueline Brixey, Eli Pincus, Ron artstein

Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing

no code implementations • LREC 2018 • Ramesh Manuvinakurike, Jacqueline Brixey, Trung Bui, Walter Chang, Doo Soon Kim, Ron artstein, Kallirroi Georgila

Image Captioning Question Answering +1

Evaluating Spoken Dialogue Processing for Time-Offset Interaction

no code implementations • WS 2015 • David Traum, Kallirroi Georgila, Ron artstein, Anton Leuski

Speech Recognition

A Demonstration of Dialogue Processing in SimSensei Kiosk

no code implementations • WS 2014 • Fabrizio Morbini, David DeVault, Kallirroi Georgila, Ron artstein, David Traum, Louis-Philippe Morency

Dialogue Management Speech Recognition

Verbal indicators of psychological distress in interactive dialogue with a virtual human

no code implementations • WS 2013 • David DeVault, Kallirroi Georgila, Ron artstein, Fabrizio Morbini, David Traum, Stefan Scherer, Albert Skip Rizzo, Louis-Philippe Morency

Which ASR should I choose for my dialogue system?

no code implementations • WS 2013 • Fabrizio Morbini, Kartik Audhkhasi, Kenji Sagae, Ron artstein, Do{\u{g}}an Can, Panayiotis Georgiou, Shri Narayanan, Anton Leuski, David Traum

Speech Recognition

The Distress Analysis Interview Corpus of human and computer interviews

no code implementations • LREC 2014 • Jonathan Gratch, Ron artstein, Gale Lucas, Giota Stratou, Stefan Scherer, Angela Nazarian, Rachel Wood, Jill Boberg, David DeVault, Stacy Marsella, David Traum, Skip Rizzo, Louis-Philippe Morency

The Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder.

The Twins Corpus of Museum Visitor Questions

no code implementations • LREC 2012 • Priti Aggarwal, Ron artstein, Jillian Gerten, Athanasios Katsamanis, Shrikanth Narayanan, Angela Nazarian, David Traum

In addition to speech recordings, the corpus contains the outputs of speech recognition performed at the time of utterance as well as the system interpretation of the utterances.

Dialogue Management Natural Language Understanding +3

ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions

no code implementations • LREC 2016 • Olga Uryupina, Ron artstein, Antonella Bristot, Federica Cavicchio, Kepa Rodriguez, Massimo Poesio

This paper presents a second release of the ARRAU dataset: a multi-domain corpus with thorough linguistically motivated annotation of anaphora and related phenomena.

The Negochat Corpus of Human-agent Negotiation Dialogues

no code implementations • LREC 2016 • Vasily Konovalov, Ron artstein, Oren Melamud, Ido Dagan

In this work, we introduce an annotated natural language human-agent dialogue corpus in the negotiation domain.

Natural Language Understanding

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

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.

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.

Natural Language Understanding