no code implementations • COLING (MWE) 2020 • Carlos Ramisch, Agata Savary, Bruno Guillaume, Jakub Waszczuk, Marie Candito, Ashwini Vaidya, Verginica Barbu Mititelu, Archna Bhatia, Uxoa Iñurrieta, Voula Giouli, Tunga Güngör, Menghan Jiang, Timm Lichte, Chaya Liebeskind, Johanna Monti, Renata Ramisch, Sara Stymne, Abigail Walsh, Hongzhi Xu
We present edition 1. 2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs).
1 code implementation • LREC (MWE) 2022 • Rafael Ehren, Laura Kallmeyer, Timm Lichte
In this paper we examine a BiLSTM architecture for disambiguating verbal potentially idiomatic expressions (PIEs) as to whether they are used in a literal or an idiomatic reading with respect to explainability of its decisions.
no code implementations • WS 2020 • Rafael Ehren, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk
Supervised disambiguation of verbal idioms (VID) poses special demands on the quality and quantity of the annotated data used for learning and evaluation.
no code implementations • 23 Oct 2018 • Agata Savary, Simon Petitjean, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk
Multiword expressions (MWEs) exhibit both regular and idiosyncratic properties.
no code implementations • COLING 2018 • Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, Veronika Vincze, Verginica Barbu Mititelu, Archna Bhatia, Maja Buljan, C, Marie ito, Polona Gantar, Voula Giouli, Tunga G{\"u}ng{\"o}r, Abdelati Hawwari, Uxoa I{\~n}urrieta, Jolanta Kovalevskait{\.e}, Simon Krek, Timm Lichte, Chaya Liebeskind, Johanna Monti, Carla Parra Escart{\'\i}n, Behrang Qasemizadeh, Renata Ramisch, Nathan Schneider, Ivelina Stoyanova, Ashwini Vaidya, Abigail Walsh
Corpora were created for 20 languages, which are also briefly discussed.
no code implementations • COLING 2018 • Rafael Ehren, Timm Lichte, Younes Samih
We submitted results for seven languages in the closed track of the task and for one language in the open track.
no code implementations • JEPTALNRECITAL 2015 • Simon Petitjean, Younes Samih, Timm Lichte
Dans cet article, nous pr{\'e}sentons une mod{\'e}lisation de la morphologie d{\'e}rivationnelle de l{'}arabe utilisant le cadre m{\'e}tagrammatical offert par XMG.