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arXiv · 2009.01712

The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

James Barry·Joachim Wagner·Jennifer Foster
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Abstract

We describe the ADAPT system for the 2020 IWPT Shared Task on parsing enhanced Universal Dependencies in 17 languages. We implement a pipeline approach using UDPipe and UDPipe-future to provide initial levels of annotation. The enhanced dependency graph is either produced by a graph-based semantic dependency parser or is built from the basic tree using a small set of heuristics. Our results show that, for the majority of languages, a semantic dependency parser can be successfully applied to the task of parsing enhanced dependencies. Unfortunately, we did not ensure a connected graph as part of our pipeline approach and our competition submission relied on a last-minute fix to pass the validation script which harmed our official evaluation scores significantly. Our submission ranked eighth in the official evaluation with a macro-averaged coarse ELAS F1 of 67.23 and a treebank average of 67.49. We later implemented our own graph-connecting fix which resulted in a score of 79.53 (language average) or 79.76 (treebank average), which would have placed fourth in the competition evaluation.

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James Barry, Joachim Wagner, Jennifer Foster. 2020-09-03. The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task. https://doi.org/10.18653/v1/2020.iwpt-1.24

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