Papers › UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
Milan Straka
UDPipe is a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We present a prototype for UDPipe 2.0 and evaluate it in the CoNLL 2018 UD Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, which employs three metrics for submission ranking. Out of 26 participants, the prototype placed first in the MLAS ranking, third in the LAS ranking and third in the BLEX ranking. In extrinsic parser evaluation EPE 2018, the system ranked first in the overall score.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dependency Parsing | Universal Dependencies | UDPipe 2.0 | BLEX | 64.49 | #6 of 6 | Archive leaderboard | report |
| Dependency Parsing | Universal Dependencies | UDPipe 2.0 | LAS | 73.11 | #6 of 6 | Archive leaderboard | report |
| Dependency Parsing | Universal Dependencies | UDPipe 2.0 | UAS | 61.25 | #6 of 6 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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