Some Languages Seem Easier to Parse Because Their Treebanks Leak
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Dokumenter
- Some Languages Seem Easier to Parse Because Their Treebanks Leak
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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.
Originalsprog | Engelsk |
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Titel | Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2020 |
Sider | 2765–2770 |
DOI | |
Status | Udgivet - 2020 |
Begivenhed | The 2020 Conference on Empirical Methods in Natural Language Processing - online Varighed: 16 nov. 2020 → 20 nov. 2020 http://2020.emnlp.org |
Konference
Konference | The 2020 Conference on Empirical Methods in Natural Language Processing |
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Lokation | online |
Periode | 16/11/2020 → 20/11/2020 |
Internetadresse |
ID: 258390141