UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390208" target="_blank" >RIV/00216208:11320/18:10390208 - isvavai.cz</a>

Result on the web

<a href="http://universaldependencies.org/conll18/proceedings/pdf/K18-2020.pdf" target="_blank" >http://universaldependencies.org/conll18/proceedings/pdf/K18-2020.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task

Original language description

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. The prototype utilizes an artificial neural network with a single joint model for POS tagging, lemmatization and dependency parsing, and is trained only using the CoNLL-U training data and pretrained word embeddings, contrary to both systems surpassing the prototype in the LAS and BLEX ranking in the shared task. The open-source code of the prototype is available at http://github.com/CoNLL-UD-2018/UDPipe-Future. After the shared task, we slightly refined the mo

Czech name

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Czech description

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Type

D - Article in proceedings

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)

Project

<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of CoNLL 2018: The SIGNLL Conference on Computational Natural Language Learning

ISBN

978-1-948087-72-8

ISSN

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e-ISSN

neuvedeno

Number of pages

11

Pages from-to

197-207

Publisher name

Association for Computational Linguistics

Place of publication

Stroudsburg, PA, USA

Event location

Bruxelles, Belgium

Event date

Oct 31, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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