[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/tzuf-paz-argaman/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Tzuf Paz-Argaman

# Tzuf Paz-Argaman

3 paper cards in Mova's library · 2023–2024

Tzuf Paz-Argaman wrote 3 of the papers Mova reads, in 2023–2024; often with [Itai Mondshine](https://md.mova.elamur.ai/free/en/docs/papers/authors/itai-mondshine/), [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/), [Asaf Achi Mordechai](https://md.mova.elamur.ai/free/en/docs/papers/authors/asaf-achi-mordechai/).

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tzuf+Paz-Argaman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tzuf+Paz-Argaman) · [dblp](https://dblp.org/search?q=Tzuf+Paz-Argaman) · [ACL Anthology](https://aclanthology.org/search/?q=Tzuf+Paz-Argaman) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Tzuf+Paz-Argaman)

## Papers

1. **[HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/)** *(2024)* HeSum is a Modern Hebrew summarisation set of 10,000 article–summary pairs (8,000 train, 1,000 validation, 1,000 test) from three independent news sites, where the summary is the editor's extended subheading.
2. **[HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2024-mondshine-hesum-novel-dataset-abstractive-text/)** *(2024)* The paper builds HeSum, 10,000 Modern Hebrew news articles paired with the editor-written extended subheadings that serve as summaries, taken from three independent news sites and split 8,000 / 1,000 / 1,000.
3. **[HeGeL: A Novel Dataset for Geo-Location from Hebrew Text](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/)** *(2023)* The task is to turn a free-text place description into map coordinates. The authors crowdsourced 5,649 literal Hebrew place descriptions for 167 places in Tel Aviv, Haifa and Jerusalem. Writers described a place they know without naming it or any landmark within 100 m; a second participant then marked it on…

## Co-authors (6)

- [Itai Mondshine](https://md.mova.elamur.ai/free/en/docs/papers/authors/itai-mondshine/) ×3
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/) ×3
- [Asaf Achi Mordechai](https://md.mova.elamur.ai/free/en/docs/papers/authors/asaf-achi-mordechai/) ×2
- Itzhak Omer
- Sagi Dalyot
- Tal Bauman
- [← previous Tongshuang Wu](https://md.mova.elamur.ai/free/en/docs/papers/authors/tongshuang-wu/)
- [next → Ulf Hermjakob](https://md.mova.elamur.ai/free/en/docs/papers/authors/ulf-hermjakob/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)