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Found 48 papers, 0 papers with code
Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains
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.
Comparing Approaches to Language Understanding for Human-Robot Dialogue: An Error Taxonomy and Analysis
In this paper, we compare two different approaches to language understanding for a human-robot interaction domain in which a human commander gives navigation instructions to a robot.
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain
We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems on dialogue agent-directed English speech from speakers with General American vs. non-American accents.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
We demonstrate that LLM-based goal decomposition leads to faster planning times than solving multi-agent PDDL problems directly while simultaneously achieving fewer plan execution steps than a single agent plan alone and preserving execution success.
Navigating to Success in Multi-Modal Human-Robot Collaboration: Analysis and Corpus Release
Human-guided robotic exploration is a useful approach to gathering information at remote locations, especially those that might be too risky, inhospitable, or inaccessible for humans.
Interactive Evaluation of Dialog Track at DSTC9
Our track challenges participants to develop strong response generation models and explore strategies that extend them to back-and-forth interactions with real users.
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog.
Overview of the Ninth Dialog System Technology Challenge: DSTC9
Interactive evaluation of dialog, and 4.
Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains
We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems across diverse dialogue domains (in US-English).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Exploring a Choctaw Language Corpus with Word Vectors and Minimum Distance Length
This work introduces additions to the corpus ChoCo, a multimodal corpus for the American indigenous language Choctaw.
Dialogue-AMR: Abstract Meaning Representation for Dialogue
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
Predicting Ratings of Real Dialogue Participants from Artificial Data and Ratings of Human Dialogue Observers
We applied all these dialogue evaluation functions to a held-out portion of our WOz dialogues, and we report results on the predictive power of these different types of dialogue evaluation functions.
Which Model Should We Use for a Real-World Conversational Dialogue System? a Cross-Language Relevance Model or a Deep Neural Net?
We compare two models for corpus-based selection of dialogue responses: one based on cross-language relevance with a cross-language LSTM model.
Augmenting Abstract Meaning Representation for Human-Robot Dialogue
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.
A Blissymbolics Translation System
Bliss attempts to create a writing system that makes words easier to distinguish by using pictographic symbols that encapsulate meaning rather than sound, as the English alphabet does for example.
ScoutBot: A Dialogue System for Collaborative Navigation
ScoutBot is a dialogue interface to physical and simulated robots that supports collaborative exploration of environments.
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue.
Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue
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.
DialPort, Gone Live: An Update After A Year of Development
DialPort collects user data for connected spoken dialog systems.
Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task
Robot-directed communication is variable, and may change based on human perception of robot capabilities.
Towards Automatic Identification of Effective Clues for Team Word-Guessing Games
Team word-guessing games where one player, the clue-giver, gives clues attempting to elicit a target-word from another player, the receiver, are a popular form of entertainment and also used for educational purposes.
Towards a Multi-dimensional Taxonomy of Stories in Dialogue
In this paper, we present a taxonomy of stories told in dialogue.
The Distress Analysis Interview Corpus of human and computer interviews
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
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.
ISO 24617-2: A semantically-based standard for dialogue annotation
This paper summarizes the latest, final version of ISO standard 24617-2 ``Semantic annotation framework, Part 2: Dialogue acts''''''''.
Practical Evaluation of Human and Synthesized Speech for Virtual Human Dialogue Systems
To determine the best trade-off between performance and cost, we perform a systematic evaluation of human and synthesized voices with regard to naturalness, conversational aspect, and likability.
