Open AccessA Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models
Author(s) -
Kartik Goyal,
Graham Neubig,
Chris Dyer,
Taylor Berg-Kirkpatrick
Publication year - 2018
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.v32i1.11806
Subject(s) - beam search , decoding methods , computer science , greedy algorithm , cross entropy , entropy (arrow of time) , algorithm , list decoding , search algorithm , metric (unit) , sequence (biology) , artificial intelligence , principle of maximum entropy , concatenated error correction code , engineering , block code , operations management , physics , quantum mechanics , biology , genetics
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