Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/59315
Type of publication: Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Filologija / Philology (H004)
Author(s): Ramisch, Carlos;Cordeiro, Silvio Ricardo;Savary, Agata;Vincze, Veronika;Barbu Mititelu, Verginica;Bhatia, Archna;Buljan, Maja;Candito, Marie;Gantar, Polona;Giouli, Voula;Güngör, Tunga;Hawwari, Abdelati;Iñurrieta, Uxoa;Kovalevskaitė, Jolanta;Krek, Simon;Lichte, Timm;Liebeskind, Chaya;Monti, Johanna;Parra Escartín, Carla;QasemiZadeh, Behrang;Ramisch, Renata;Schneider, Nathan;Stoyanova, Ivelina;Vaidya, Ashwini;Walsh, Abigail
Title: Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions
Is part of: LAW-MWE-CxG 2018: Joint workshop on linguistic annotation, multiword expressions and constructions, August 25-26, 2018, Santa Fe, New Mexico, USA: proceedings of the workshop. Cambridge : Association for Computational Linguistics, 2018
Extent: p. 222-240
Date: 2018
Note: This work was supported by the IC1207 PARSEME COST action23, and national funded projects: LDPARSEME24 (LD14117) in the Czech Republic, and PARSEME-FR25 (ANR-14-CERA-0001) in France. Carla Parra Escartín is funded by the European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement No 713567, and Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106) at Dublin City University. Behrang QasemiZadeh and Timm Lichte are funded by the Deutsche Forschungsgemeinschaft (DFG) within the CRC 991 “The Structure of Representations in Language, Cognition, and Science”. Veronika Vincze was supported by the UNKP-17-4 New National Excellence Program of the Ministry of Human Capacities, Hungary. The Slovenian team was supported by the 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) fellowship. The Turkish team was supported by Bogaziçi University Research Fund Grant Number 14420
Keywords: PARSEME;Verbal multiword;Corpora
ISBN: 9781948087513
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
Internet: http://aclweb.org/anthology/W18-4900
https://hdl.handle.net/20.500.12259/59315
http://aclweb.org/anthology/W18-4900
Affiliation(s): Humanitarinių mokslų fakultetas
Užsienio kalbų, lit. ir vert. s. katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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