Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions

Parra Escartín, Carla orcid logoORCID: 0000-0002-8412-1525 and Walsh, Abigail (2018) Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions. In: Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), 25-26 Aug 2018, Santa Fe, NM, USA.

Abstract
This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal multiword expressions. We present the annotation methodology, focusing on changes from last year’s shared task. Novel aspects include enhanced annotation guidelines, additional annotated data for most languages, corpora for some new languages, and new evaluation settings. Corpora were created for 20 languages, which are also briefly discussed. We report organizational principles behind the shared task and the evaluation metrics employed for ranking. The 17 participating systems, their methods and obtained results are also presented and analysed.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Initiatives and Centres > ADAPT
Published in: Savary, Agata, Ramisch, Carlos and Hwang, Jena D., (eds.) Proceedings of the Joint Workshop on , Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018). . Association for Computational Linguistics (ACL).
Publisher:Association for Computational Linguistics (ACL)
Official URL:https://www.aclweb.org/anthology/W18-4925
Copyright Information:© 2018 ACL. http://creativecommons.org/licenses/by/4.0/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:IC1207 PARSEME COST action, LDPARSEME (LD14117) Czech Republic, and PARSEME-FR25 (ANR-14-CERA-0001) in France, European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement No 713567, Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106) at Dublin City University, Deutsche Forschungsgemeinschaft (DFG) within the CRC 991 “The Structure of Representations in Language, Cognition, and Science”, UNKP-17-4 New National Excellence Program of the Ministry of Human Capacities, Hungary., Slovenian Research Agency via New grammar of contemporary standard Slovene: sources and methods (J6-8256 project)., Ashwini Vaidya was supported by the DST-CSRI (Dept of Science and Technology, Govt. of India Cognitive Science Research Initiative), Bogaziçi University Research Fund Grant Number 14420
ID Code:23376
Deposited On:29 May 2019 11:18 by Thomas Murtagh . Last Modified 29 May 2019 11:18
Documents

Full text available as:

[thumbnail of Edition_1.1_of_the_PARSEME_Shared_Task_on_Automatic_Identification_of_Verbal_Multiword_Expressions[1].pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
445kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record