Papers by Avik Mitra

    1 papers
    tagE: Enabling an Embodied Agent to Understand Human Instructions (2023.findings-emnlp)

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    Challenge: Existing systems for natural language understanding (NLU) are limited due to the inherent ambiguity and incompleteness inherent in natural language.
    Approach: They propose a system to extract tasks from natural language instructions and map them to robots' established collection of skills.
    Outcome: The proposed system outperforms baseline models in the training and evaluation of a dataset featuring complex instructions.

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