Entity-aware Multi-task Learning for Query Understanding at Walmart

Author:

Peng Zhiyuan1ORCID,Dave Vachik2ORCID,McNabb Nicole2ORCID,Sharnagat Rahul2ORCID,Magnani Alessandro2ORCID,Liao Ciya2ORCID,Fang Yi1ORCID,Rajanala Sravanthi2ORCID

Affiliation:

1. Santa Clara University, Santa Clara, CA, USA

2. Walmart Global Tech, Sunnyvale, CA, USA

Publisher

ACM

Reference27 articles.

1. Learning to rank

2. Deep Neural Query Understanding System at Expedia Group

3. Arash Dargahi Nobari , Arian Askari , Faegheh Hasibi , and Mahmood Neshati . 2018 . Query understanding via entity attribute identification . In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 1759--1762 . Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi, and Mahmood Neshati. 2018. Query understanding via entity attribute identification. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 1759--1762.

4. Timo I Denk and Ana Peleteiro Ramallo . 2020. Contextual BERT: Conditioning the language model using a global state. arXiv preprint arXiv:2010.15778 ( 2020 ). Timo I Denk and Ana Peleteiro Ramallo. 2020. Contextual BERT: Conditioning the language model using a global state. arXiv preprint arXiv:2010.15778 (2020).

5. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity;Fedus William;J. Mach. Learn. Res,2021

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