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Award ID contains: 1925576

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  1. ; (, International Workshop on Spoken Dialogue Systems (IWSDS-2023))
    Abstract We present the first spoken dialogue system for the Choctaw language in this paper. Choctaw is an endangered American indigenous language spoken by the Choctaw tribe. Previous work in this area created a text-based English-Choctaw bilingual chatbot, named Masheli, that primarily shared stories about animals. Ad- ditional work developed an automatic speech recognizer (ASR) to process spoken Choctaw. In this paper, we demo the Choctaw ASR together with the Masheli chat- bot to form a dialogue system that allows the user to speak, rather than type, to the system. As the language is endangered, a spoken dialogue system would assist revitalization efforts by promoting oral fluency in language learners. 
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    Accepted Manuscript Full Text Available
  2. ; (, ISCA)
    Full Text Available 
  3. ; (, Proceedings of the Thirteenth Language Resources and Evaluation Conference)
    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. We contrast a relevance-based classifier with a GPT-2 model, using about 2000 input-output examples as training data. With this level of training data, the relevance-based model outperforms the GPT-2 based model 79% to 8%. We also present a taxonomy of types of errors made by each model, indicating that they have somewhat different strengths and weaknesses, so we also examine the potential for a combined model. 
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    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; ; ; ; ; et al (, Computer Speech & Language)
    null (Ed.)
    Full Text Available 
  5. (, ArXivorg)
    null (Ed.)
    This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in dialog systems, namely, 1. Task-oriented dialog Modeling with unstructured knowledge access, 2. Multi-domain task-oriented dialog, 3. Interactive evaluation of dialog, and 4. Situated interactive multi-modal dialog. This paper describes the task definition, provided datasets, baselines and evaluation set-up for each track. We also summarize the results of the submitted systems to highlight the overall trends of the state-of-the-art technologies for the tasks. 
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    Accepted Manuscript Full Text Available