Instance-Based Neural Dependency Parsing

Instance-Based Neural Dependency Parsing

AbstractInterpretable rationales for model predictions are crucial in practical applications. We develop neural models that possess an interpretable inference process for dependency parsing. Our models adopt instance-based inference, where dependency edges are extracted and labeled b...

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Bibliographic Details
Main Authors: Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui
Format: Article
Language:English
Published: The MIT Press 2021-01-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00439/108864/Instance-Based-Neural-Dependency-Parsing

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https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00439/108864/Instance-Based-Neural-Dependency-Parsing

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