Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks | Zendy

R. Thomas McCoy | Zendy; Robert Frank | Zendy; Tal Linzen | Zendy

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Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks

Author(s) -

R. Thomas McCoy,

Robert Frank,

Tal Linzen

Publication year - 2020

Publication title -

transactions of the association for computational linguistics

Language(s) - English

Resource type - Journals

ISSN - 2307-387X

DOI - 10.1162/tacl_a_00304

Subject(s) - inductive bias , generalization , computer science , sequence (biology) , syntax , natural language processing , artificial neural network , tree (set theory) , artificial intelligence , tree structure , set (abstract data type) , parsing , machine learning , data structure , programming language , multi task learning , mathematics , mathematical analysis , management , biology , economics , task (project management) , genetics

Learners that are exposed to the same training data might generalize differently due to differing inductive biases. In neural network models, inductive biases could in theory arise from any aspect ...

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