--- title: "Omri Koshorek — author profile and papers · Discourse analysis" description: "Omri Koshorek: 2 papers on Elamur Research (2018–2020), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/omri-koshorek/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/omri-koshorek/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Omri Koshorek # Omri Koshorek Omri Koshorek has 2 papers in our library, in 2018–2020, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/), [Vivek Srikumar](https://md.research.elamur.ai/free/en/authors/vivek-srikumar/). 2 papers in our library · 2018–2020 [OpenAlex](https://openalex.org/A5025006463) · [**h-index 2**](https://openalex.org/authors/A5025006463) · [5 works](https://openalex.org/works?filter=author.id:A5025006463) · [170 citations](https://openalex.org/works?filter=author.id:A5025006463&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/omri-koshorek/#papers) · [🔗 Cited 66 times in our library](https://md.research.elamur.ai/free/en/authors/omri-koshorek/cited-by/) · [⭐ Paper Stars ranking: #4532](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4532) 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=Omri+Koshorek) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Omri+Koshorek) · [dblp](https://dblp.org/search?q=Omri+Koshorek) · [ACL Anthology](https://aclanthology.org/search/?q=Omri+Koshorek) ## Affiliations [🎓**Tel Aviv University** Tel Aviv · Israel 2018–2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) ## Works by year ### 2020s [**2020** 1 paper Omri Koshorek's papers of 2020](https://md.research.elamur.ai/free/en/papers/zhou-2020-simple-global-neural-discourse-parser/) ### 2010s [**2018** 1 paper Omri Koshorek's papers of 2018](https://md.research.elamur.ai/free/en/papers/koshorek-2018-text-segmentation-as-supervised-learning/) ## Papers The most cited first (OpenAlex and our library). 1. **[Text Segmentation as a Supervised Learning Task](https://md.research.elamur.ai/free/en/papers/koshorek-2018-text-segmentation-as-supervised-learning/)** *(2018 · 228 citations)* Koshorek et al. reframe text segmentation, which splits a document into topically coherent contiguous parts, as supervised learning. Earlier systems relied on unsupervised heuristics, topic models or graph methods, mainly because labeled corpora were tiny or synthetic. The authors introduce WIKI-727K, a corpus of… 2. **[A Simple Global Neural Discourse Parser](https://md.research.elamur.ai/free/en/papers/zhou-2020-simple-global-neural-discourse-parser/)** *(2020)* The paper addresses document-level discourse parsing in the RST framework. Most existing parsers are greedy and depend on hand-built features or extra resources, because exact global search is expensive: a node's relation and nuclearity labels depend on where its children are split. The authors build a CKY-style… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) ×2 - [Vivek Srikumar](https://md.research.elamur.ai/free/en/authors/vivek-srikumar/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2018](https://md.research.elamur.ai/free/en/venues/naacl/2018/) ## Cited by Papers of our library cite their works 66 times (of the 141,840 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/omri-koshorek/cited-by/). Updated 24 October 2026