Graph Enhanced BERT for Query Understanding

Author:

Li Juanhui1ORCID,Zeng Wei2ORCID,Cheng Suqi2ORCID,Ma Yao3ORCID,Tang Jiliang1ORCID,Wang Shuaiqiang2ORCID,Yin Dawei2ORCID

Affiliation:

1. Michigan State University, East Lansing, USA

2. Baidu Inc., Beijing, China

3. New Jersey Institute of Technology, Newark, USA

Funder

Cisco Systems Inc

Home Depot

Army Research Office

Johnson&Johnson

National Science Foundation

Amazon Faculty Award

Snap

Publisher

ACM

Reference22 articles.

1. Improving Automatic Query Classification via Semi-Supervised Learning

2. Context-aware query classification

3. Qian Chen , Zhu Zhuo , and Wen Wang . 2019. Bert for joint intent classification and slot filling. arXiv preprint arXiv:1902.10909 ( 2019 ). Qian Chen, Zhu Zhuo, and Wen Wang. 2019. Bert for joint intent classification and slot filling. arXiv preprint arXiv:1902.10909 (2019).

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019 , Minneapolis, MN, USA , June 2-7, 2019, Volume 1 (Long and Short Papers). 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). 4171--4186.

5. A context-aware citation recommendation model with BERT and graph convolutional networks

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