Faking a Teacher Works! Dependency Scoring Learning and Corpus Boosting for Translation-Based Cross-Lingual Dependency Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ARN9VY6ID" target="_blank" >RIV/00216208:11320/23:RN9VY6ID - isvavai.cz</a>
Result on the web
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4626681" target="_blank" >https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4626681</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2139/ssrn.4626681" target="_blank" >10.2139/ssrn.4626681</a>
Alternative languages
Result language
angličtina
Original language name
Faking a Teacher Works! Dependency Scoring Learning and Corpus Boosting for Translation-Based Cross-Lingual Dependency Parsing
Original language description
"Cross-lingual dependency parsing is one valuable research topic in natural language processing, where treebank translation is a prospective approach of it. Due to the divergence of languages, this method would inevitably generate noise during translation and auto-alignment. To reduce the problem, we exploit MetaNet to compute quality scores for each dependency and identify low-score ones as noise. MetaNet is a fake teacher that learns to score homework (dependencies) by comparing answers from the top student (strong parser) and the regular student (weak parser) without knowing the correct answer (gold-standard). With the scoring capability of MetaNet, we then design an iterative algorithm to boost the target treebank quality, which trains with high-quality dependencies and relabels the low-quality dependencies. We conduct experiments on Universal Dependency Treebank v2.2 to evaluate our method. Results show that our approach is highly effective with significant performance improvements across a diverse set of 10 languages. We also provide detailed analysis and discussions."
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů