Some Languages Seem Easier to Parse Because Their Treebanks Leak
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- Some Languages Seem Easier to Parse Because Their Treebanks Leak
Final published version, 233 KB, PDF document
Cross-language differences in (universal) dependency parsing performance are mostly attributed to treebank size, average sentence length, average dependency length, morphological complexity, and domain differences. We point at a factor not previously discussed: If we abstract away from words and dependency labels, how many graphs in the test data were seen in the training data? We compute graph isomorphisms, and show that, treebank size aside, overlap between training and test graphs explain more of the observed variation than standard explanations such as the above.
Original language | English |
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Title of host publication | Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) |
Publisher | Association for Computational Linguistics |
Publication date | 2020 |
Pages | 2765–2770 |
DOIs | |
Publication status | Published - 2020 |
Event | The 2020 Conference on Empirical Methods in Natural Language Processing - online Duration: 16 Nov 2020 → 20 Nov 2020 http://2020.emnlp.org |
Conference
Conference | The 2020 Conference on Empirical Methods in Natural Language Processing |
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Location | online |
Periode | 16/11/2020 → 20/11/2020 |
Internetadresse |
ID: 258390141