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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 10: AAAI-22 Technical Tracks 10

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding

February 1, 2023

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Authors

Donghan Yu

Carnegie Mellon University


Chenguang Zhu

Microsoft


Yiming Yang

Carnegie Mellon University


Michael Zeng

Microsoft


DOI:

10.1609/aaai.v36i10.21417


Abstract:

Knowledge graphs (KGs) contain rich information about world knowledge, entities, and relations. Thus, they can be great supplements to existing pre-trained language models. However, it remains a challenge to efficiently integrate information from KG into language modeling. And the understanding of a knowledge graph requires related context. We propose a novel joint pre-training framework, JAKET, to model both the knowledge graph and language. The knowledge module and language module provide essential information to mutually assist each other: the knowledge module produces embeddings for entities in text while the language module generates context-aware initial embeddings for entities and relations in the graph. Our design enables the pre-trained model to easily adapt to unseen knowledge graphs in new domains. Experiment results on several knowledge-aware NLP tasks show that our proposed framework achieves superior performance by effectively leveraging knowledge in language understanding.

Topics: AAAI

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HOW TO CITE:

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng JAKET: Joint Pre-training of Knowledge Graph and Language Understanding Proceedings of the AAAI Conference on Artificial Intelligence (2022) 11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng JAKET: Joint Pre-training of Knowledge Graph and Language Understanding AAAI 2022, 11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng (2022). JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. Proceedings of the AAAI Conference on Artificial Intelligence, 11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. 2022. JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. "Proceedings of the AAAI Conference on Artificial Intelligence". 11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. (2022) "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding", Proceedings of the AAAI Conference on Artificial Intelligence, p.11630-11638

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng, "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding", AAAI, p.11630-11638, 2022.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 11630-11638.

Donghan Yu||Chenguang Zhu||Yiming Yang||Michael Zeng. JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI[Internet]. 2022[cited 2023]; 11630-11638.


ISSN: 2374-3468


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