activity
20182026
most citedRecent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

161 citations · 172 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Translate or Simplify First: An Analysis of Cross-lingual Text Simplification in English and French

Ido Dahan, Omer Toledano, Roey J. Gafter +4

Cross-Lingual Text Simplification (CLTS) aims to make content more accessible across languages by simultaneously addressing both linguistic complexity and translation. This study i…

cs.CL2026

Learning from Child-Directed Speech in Two-Language Scenarios: A French-English Case Study

Liel Binyamin, Elior Sulem

Research on developmentally plausible language models has largely focused on English, leaving open questions about multilingual settings. We present a systematic study of compact l…

cs.CL2021★ 161 cited

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Bonan Min, Hayley Ross, Elior Sulem +6

Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of recent work that uses…

cs.CL2019

The Language of Legal and Illegal Activity on the Darknet

Leshem Choshen, Dan Eldad, Daniel Hershcovich +2

The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. Given the magnitude of these networks, scalably monitoring th…

cs.CL2019★ 3 cited

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen +3

We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable…

cs.CL2018★ 3 cited

BLEU is Not Suitable for the Evaluation of Text Simplification

Elior Sulem, Omri Abend, Ari Rappoport

BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this pape…

cs.CL2018★ 2 cited

Simple and Effective Text Simplification Using Semantic and Neural Methods

Elior Sulem, Omri Abend, Ari Rappoport

Sentence splitting is a major simplification operator. Here we present a simple and efficient splitting algorithm based on an automatic semantic parser. After splitting, the text i…

cs.CL2018★ 1 cited

Semantic Structural Evaluation for Text Simplification

Elior Sulem, Omri Abend, Ari Rappoport

Current measures for evaluating text simplification systems focus on evaluating lexical text aspects, neglecting its structural aspects. In this paper we propose the first measure…

cs.CL2018★ 2 cited

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

Daniel Hershcovich, Leshem Choshen, Elior Sulem +3

We announce a shared task on UCCA parsing in English, German and French, and call for participants to submit their systems. UCCA is a cross-linguistically applicable framework for…