The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing

Dependency parsing can be cast as a combinatorial optimization problem with the objective to find the highest-scoring graph, where edge scores are learnt from data. Several of the decoding algorithms that have been applied to this task employ structural restrictions on candidate solutions, such as...

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Main Authors: Robin Kurtz, Marco Kuhlmann
Format: Article
Language:English
Published: Linköping University Electronic Press 2019-12-01
Series:Northern European Journal of Language Technology
Online Access:https://nejlt.ep.liu.se/article/view/1037
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author Robin Kurtz
Marco Kuhlmann
author_facet Robin Kurtz
Marco Kuhlmann
author_sort Robin Kurtz
collection DOAJ
description Dependency parsing can be cast as a combinatorial optimization problem with the objective to find the highest-scoring graph, where edge scores are learnt from data. Several of the decoding algorithms that have been applied to this task employ structural restrictions on candidate solutions, such as the restriction to projective dependency trees in syntactic parsing, or the restriction to noncrossing graphs in semantic parsing. In this paper we study the interplay between structural restrictions and a common loss function in neural dependency parsing, the structural hingeloss. We show how structural constraints can make networks trained under this loss function diverge and propose a modified loss function that solves this problem. Our experimental evaluation shows that the modified loss function can yield improved parsing accuracy, compared to the unmodified baseline.
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institution Kabale University
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publisher Linköping University Electronic Press
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series Northern European Journal of Language Technology
spelling doaj-art-9cebc0fa74794ffe859aa1bf738321cb2025-01-23T10:36:32ZengLinköping University Electronic PressNorthern European Journal of Language Technology2000-15332019-12-01610.3384/nejlt.2000-1533.19643The Interplay Between Loss Functions and Structural Constraints in Dependency ParsingRobin Kurtz0Marco Kuhlmann1Department of Computer and Information Science, Linköpng University, SwedenDepartment of Computer and Information Science, Linköpng University, Sweden Dependency parsing can be cast as a combinatorial optimization problem with the objective to find the highest-scoring graph, where edge scores are learnt from data. Several of the decoding algorithms that have been applied to this task employ structural restrictions on candidate solutions, such as the restriction to projective dependency trees in syntactic parsing, or the restriction to noncrossing graphs in semantic parsing. In this paper we study the interplay between structural restrictions and a common loss function in neural dependency parsing, the structural hingeloss. We show how structural constraints can make networks trained under this loss function diverge and propose a modified loss function that solves this problem. Our experimental evaluation shows that the modified loss function can yield improved parsing accuracy, compared to the unmodified baseline. https://nejlt.ep.liu.se/article/view/1037
spellingShingle Robin Kurtz
Marco Kuhlmann
The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
Northern European Journal of Language Technology
title The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
title_full The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
title_fullStr The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
title_full_unstemmed The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
title_short The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing
title_sort interplay between loss functions and structural constraints in dependency parsing
url https://nejlt.ep.liu.se/article/view/1037
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