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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