HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace-Reference-Cited by-同舟云学术

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

He Yunzhong¹^ORCID,Zhang Cong¹^ORCID,Kong Ruoyan²^ORCID,Kulkarni Chaitanya¹^ORCID,Liu Qing¹^ORCID,Gandhe Ashish¹^ORCID,Nithianandan Amit¹^ORCID,Prakash Arul¹^ORCID

Affiliation:

1. Meta, USA

2. University of Minnesota Twin Cities, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3584622

Reference15 articles.

1. Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, and Eugene Agichtein. 2021. APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. CoRR abs/2104.11384 (2021). arxiv:2104.11384https://arxiv.org/abs/2104.11384

2. Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomás Mikolov. 2016. Enriching Word Vectors with Subword Information. CoRR abs/1607.04606 (2016). arxiv:1607.04606http://arxiv.org/abs/1607.04606

3. Context-aware query classification

4. Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019). arXiv:1911.02116http://arxiv.org/abs/1911.02116

5. Unicorn

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