Dependency Parsing On Universal Dependencies
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LAS
UAS
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | |||
|---|---|---|---|
| UDPipe 2.0 + mBERT + FLAIR | 84.60 | 87.64 | Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing |
| UDify | 80.43 | 85.69 | 75 Languages, 1 Model: Parsing Universal Dependencies Universally |
| HIT-SCIR | 75.84 | - | Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation |
| Stanford+ | 74.16 | 62.08 | Universal Dependency Parsing from Scratch |
| TurkuNLP | 73.28 | 60.99 | Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task |
| UDPipe 2.0 | 73.11 | 61.25 | UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task |
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