Improving Low-resource Question Answering by Augmenting Question Information
Published in Under Review *ACL 2022*, 2021
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Published in Under Review *ACL 2022*, 2021
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Published in The Twentieth China National Conference on Computational Linguistics, CCL 2021, 2021
This paper propose a Joint Capsule Nerual Network model for Tibetan Knowledge graph representation based on the constructed Tibetan knowledge graph. This paper is a future work about the Joint Model.
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Published in The Transactions on Asian and Low-Resource Language Information Processing, 2021
In this paper, aiming at scarcity of Tibetan knowledge graphs, we extend the Tibetan knowledge graph by using the triples of the high- resource language knowledge graphs and POI (Point of Information) map information. To improve the representation learning of the Tibetan knowledge graph, we propose a joint model to merge structure and entity description information based on the TransE and CNN model.
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