The Fragility of Multi-Treebank Parsing Evaluation
September 14, 2022 ยท Declared Dead ยท ๐ International Conference on Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Iago Alonso-Alonso, David Vilares, Carlos Gรณmez-Rodrรญguez
arXiv ID
2209.06699
Category
cs.CL: Computation & Language
Citations
1
Venue
International Conference on Computational Linguistics
Last Checked
4 months ago
Abstract
Treebank selection for parsing evaluation and the spurious effects that might arise from a biased choice have not been explored in detail. This paper studies how evaluating on a single subset of treebanks can lead to weak conclusions. First, we take a few contrasting parsers, and run them on subsets of treebanks proposed in previous work, whose use was justified (or not) on criteria such as typology or data scarcity. Second, we run a large-scale version of this experiment, create vast amounts of random subsets of treebanks, and compare on them many parsers whose scores are available. The results show substantial variability across subsets and that although establishing guidelines for good treebank selection is hard, it is possible to detect potentially harmful strategies.
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