Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task

Jenna Kanerva, Filip Ginter, Niko Miekka, Akseli Leino, Tapio Salakoski


Abstract
In this paper we describe the TurkuNLP entry at the CoNLL 2018 Shared Task on Multilingual Parsing from Raw Text to Universal Dependencies. Compared to the last year, this year the shared task includes two new main metrics to measure the morphological tagging and lemmatization accuracies in addition to syntactic trees. Basing our motivation into these new metrics, we developed an end-to-end parsing pipeline especially focusing on developing a novel and state-of-the-art component for lemmatization. Our system reached the highest aggregate ranking on three main metrics out of 26 teams by achieving 1st place on metric involving lemmatization, and 2nd on both morphological tagging and parsing.
Anthology ID:
K18-2013
Volume:
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Month:
October
Year:
2018
Address:
Brussels, Belgium
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
133–142
Language:
URL:
https://www.aclweb.org/anthology/K18-2013
DOI:
10.18653/v1/K18-2013
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PDF:
http://aclanthology.lst.uni-saarland.de/K18-2013.pdf