We propose a UDA framework, called LEGRN-DIG, for spatial commonsense question answering using unlabeled target domain data.

Apr 28, 2024 · We propose a UDA framework, called LEGRN-DIG, for spatial commonsense question answering using unlabeled target domain data.

Nov 21, 2024 · The purpose of this study is to identify groups of firms with similar generic knowledge strategies, determine how these strategies change ...

Answering Spatial Commonsense Questions by Learning Domain-Invariant Generalization Knowledge. ドメイン不変汎化知識の学習による空間常識質問への回答【JST機械翻訳】.

To tackle these problems, we propose a UDA framework, called LEGRN-DIG, for spatial commonsense question answering using unlabeled target domain data. This ...

Sep 10, 2024 · Answering Spatial Commonsense Questions by Learning Domain-Invariant Generalization Knowledge. APWeb-WAIM (2) 2023: 270-285. [+][–]. Coauthor ...

This paper studies the problem of spatial commonsense reasoning for the machine reading comprehension task. Spatial commonsense is the human-shared but latent ...

Answering Spatial Commonsense Questions Based on Chain ... Answering Spatial Commonsense Questions by Learning Domain-Invariant Generalization Knowledge.

Nov 5, 2023 · This paper studies the problem of spatial commonsense reasoning for the machine reading comprehension task.

Dec 22, 2022 · Commonsense question answering requires reasoning about everyday situations and causes and effects implicit in context.