Search Results for author: Chaya Liebeskind

Found 16 papers, 0 papers with code

Automatic Construction of Aramaic-Hebrew Translation Lexicon

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.

Sentence Translation +1

JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection

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.

Binary Classification Change Detection

JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction

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.

Lexical Complexity Prediction Word Embeddings

ISO-based Annotated Multilingual Parallel Corpus for Discourse Markers

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.

Offensive language detection in Hebrew: can other languages help?

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.

Cross-Lingual Link Discovery for Under-Resourced Languages

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.

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