--- title: "Elior Sulem — papers and cards" description: "Elior Sulem: 4 paper cards in the Research library (2018–2025), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/elior-sulem/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/elior-sulem/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Elior Sulem # Elior Sulem 4 paper cards in the Research library · 2018–2025 Elior Sulem wrote 4 of the papers Mova reads, in 2018–2025, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Ari Rappoport](https://md.research.elamur.ai/free/en/authors/ari-rappoport/), [Omri Abend](https://md.research.elamur.ai/free/en/authors/omri-abend/), Anita Gelboim. [OpenAlex](https://openalex.org/A5026220115) · [ORCID](https://orcid.org/0000-0002-9859-7313) · [**h-index 11**](https://openalex.org/authors/A5026220115) · [1932 citations](https://openalex.org/authors/A5026220115) · [40 works](https://openalex.org/works?filter=author.id:A5026220115) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Elior+Sulem) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Elior+Sulem) · [dblp](https://dblp.org/search?q=Elior+Sulem) · [ACL Anthology](https://aclanthology.org/search/?q=Elior+Sulem) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Elior+Sulem) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 ## Papers 1. **[LCHAIM - Investigating Long Context Reasoning in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2025-malul-lchaim-investigating-long-context-reasoning/)** *(2025)* The authors build LCHAIM, a Hebrew natural language inference set of 8,325 premise–hypothesis pairs, by machine-translating the English ConTRoL dataset. 2. **[TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew](https://md.research.elamur.ai/free/en/papers/babylm-2025-gelboim-tafberta-learning-grammatical-rules-small/)** *(2025)* The paper builds TafBERTa, a small RoBERTa-style masked model (3.3M parameters, 7,317 BPE items) trained from scratch on 233K words of Hebrew child-directed speech from the CHILDES Berman longitudinal corpus, rewritten in Hebrew script and merged with its %mor and %gra annotations (HTBerman: 53K sentences). 3. **[Semantic Structural Evaluation for Text Simplification](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/)** *(2018)* The paper asks how to score a simplified sentence when reference simplifications are scarce and not unique. 4. **[Simple and Effective Text Simplification Using Semantic and Neural Methods](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/)** *(2018)* The paper adds a semantic splitting step before a neural machine translation simplifier. Direct Semantic Splitting (DSS) parses each sentence with a UCCA semantic parser, which gives scenes (events with their participants), and splits the sentence at its main scenes using two simple rules, one for parallel scenes and… ## Co-authors (7) - [Ari Rappoport](https://md.research.elamur.ai/free/en/authors/ari-rappoport/) ×2 - [Omri Abend](https://md.research.elamur.ai/free/en/authors/omri-abend/) ×2 - Anita Gelboim - Ehud Malul - Oriel Perets - Yigal Kassel - Ziv Mor ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · 2021 - [BLEU is Not Suitable for the Evaluation of Text Simplification](https://md.research.elamur.ai/free/en/papers/sulem-2018-bleu-is-not-suitable-evaluation/) — Elior Sulem, Omri Abend, Ari Rappoport · 2018