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arXiv · 1909.09279

Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers

Adam Fisch·Jiang Guo·Regina Barzilay
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Abstract

This paper explores the task of leveraging typology in the context of cross-lingual dependency parsing. While this linguistic information has shown great promise in pre-neural parsing, results for neural architectures have been mixed. The aim of our investigation is to better understand this state-of-the-art. Our main findings are as follows: 1) The benefit of typological information is derived from coarsely grouping languages into syntactically-homogeneous clusters rather than from learning to leverage variations along individual typological dimensions in a compositional manner; 2) Typology consistent with the actual corpus statistics yields better transfer performance; 3) Typological similarity is only a rough proxy of cross-lingual transferability with respect to parsing.

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Adam Fisch, Jiang Guo, Regina Barzilay. 2019-09-20. Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. https://arxiv.org/abs/1909.09279

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