The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441656" target="_blank" >RIV/00216208:11320/21:10441656 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
Original language description
We describe the DCU-EPFL submission to the IWPT 2021 Parsing Shared Task: From Raw Text to Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which are an extension of the basic dependency trees designed to be more facilitative towards representing semantic structure. Evaluation is carried out on 29 tree-banks in 17 languages and participants are required to parse the data from each language starting from raw strings. Our approach uses the Stanza pipeline to preprocess the text files, XLM-RoBERTa to obtain contextualized token representations, and an edge-scoring and labeling model to predict the enhanced graph. Finally, we run a post-processing script to ensure all of our outputs are valid Enhanced UD graphs. Our system places 6th out of 9 participants with a coarse Enhanced Labeled Attachment Score (ELAS) of 83.57. We carry out additional post-deadline experiments which include using Trankit for pre-processing, XLM-RoBERTaLARGE, treebank concatenation, and multitask learning between a basic and an enhanced dependency parser. All of these modifications improve our initial score and our final system has a coarse ELAS of 88.04.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
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Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IWPT 2021: THE 17TH INTERNATIONAL CONFERENCE ON PARSING TECHNOLOGIES: PROCEEDINGS OF THE CONFERENCE (INCLUDING THE IWPT 2021 SHARED TASK)
ISBN
978-1-954085-80-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
204-212
Publisher name
ASSOC COMPUTATIONAL LINGUISTICS-ACL
Place of publication
STROUDSBURG
Event location
Bangkok
Event date
Aug 6, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000694723000022