Search Results for author: Ron artstein

Found 21 papers, 0 papers with code

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

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.

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

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.

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

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

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