no code implementations • LREC 2016 • Chaya Liebeskind, Yaakov HaCohen-Kerner
The lexical resource enables to sample a set of positive examples for Hebrew VN-MWEs.
no code implementations • COLING 2016 • Chaya Liebeskind, Yaakov HaCohen-Kerner
Identification of Multi-Word Expressions (MWEs) lies at the heart of many natural language processing applications.
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 • LREC 2020 • Chaya Liebeskind, Shmuel Liebeskind
First, we generate an initial translation lexicon by a state-of-the-art word alignment translation model.
no code implementations • SEMEVAL 2020 • Efrat Amar, Chaya Liebeskind
In this paper, we present our contribution in SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection, where we systematically combine existing models for unsupervised capturing of lexical semantic change across time in text corpora of German, English, Latin and Swedish.
no code implementations • SEMEVAL 2021 • Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind
In this paper, we present our contribution in SemEval-2021 Task 1: Lexical Complexity Prediction, where we integrate linguistic, statistical, and semantic properties of the target word and its context as features within a Machine Learning (ML) framework for predicting lexical complexity.
no code implementations • LREC 2022 • Gordana Hržica, Chaya Liebeskind, Kristina Š. Despot, Olga Dontcheva-Navratilova, Laura Kamandulytė-Merfeldienė, Sara Košutar, Matea Kramarić, Giedrė Valūnaitė Oleškevičienė
The results showed that younger children corpora had lower morphological complexity than older children corpora for all four measures for Spanish and Russian.
no code implementations • LREC 2022 • Purificação Silvano, Mariana Damova, Giedrė Valūnaitė Oleškevičienė, Chaya Liebeskind, Christian Chiarcos, Dimitar Trajanov, Ciprian-Octavian Truică, Elena-Simona Apostol, Anna Baczkowska
In order to represent the meaning of the discourse markers, we propose an annotation scheme of discourse relations from ISO 24617-8 with a plug-in to ISO 24617-2 for communicative functions.
no code implementations • LREC 2022 • Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia, Rizek Abu Madeghem
Therefore, automated detection of offensive language is in high demand and it is a serious challenge in multilingual domains.
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).
no code implementations • LREC 2022 • Michael Rosner, Sina Ahmadi, Elena-Simona Apostol, Julia Bosque-Gil, Christian Chiarcos, Milan Dojchinovski, Katerina Gkirtzou, Jorge Gracia, Dagmar Gromann, Chaya Liebeskind, Giedrė Valūnaitė Oleškevičienė, Gilles Sérasset, Ciprian-Octavian Truică
In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages.