Papers with ALFRED dataset

1 papers
Task-Driven and Experience-Based Question Answering Corpus for In-Home Robot Application in the House3D Virtual Environment (2022.lrec-1)

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Challenge: Question answering is an important part of natural language processing (NLP)
Approach: They propose to use TEQA to investigate the ability of agent task experience understanding for the long-term household task.
Outcome: The proposed corpus aims to investigate the ability of task experience understanding of agents for the daily question answering scenario on the ALFRED dataset.

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