An End-to-End Solution for Named Entity Recognition in eCommerce Search | Zendy

Xiang Cheng | Zendy; Mitchell Bowden | Zendy; Bhushan Ramesh Bhange | Zendy; Priyanka Goyal | Zendy; Thomas Packer | Zendy; Faizan Javed | Zendy

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An End-to-End Solution for Named Entity Recognition in eCommerce Search

Author(s) -

Xiang Cheng,

Mitchell Bowden,

Bhushan Ramesh Bhange,

Priyanka Goyal,

Thomas Packer,

Faizan Javed

Publication year - 2021

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v35i17.17773

Subject(s) - computer science , named entity recognition , boosting (machine learning) , benchmark (surveying) , end user , end to end principle , revenue , test set , key (lock) , training set , set (abstract data type) , machine learning , test data , domain (mathematical analysis) , artificial intelligence , product (mathematics) , information retrieval , data science , world wide web , software engineering , mathematical analysis , business , computer security , geodesy , accounting , mathematics , programming language , task (project management) , geography , geometry , management , economics

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