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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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