Omri Koshorek

Omri Koshorek has 2 papers in our library, in 2018–2020, most of them on Discourse analysis; often with Jonathan Berant, Vivek Srikumar.

2 papers in our library · 2018–2020

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Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

Text Segmentation as a Supervised Learning Task (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…
A 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…

2 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

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 →.

Updated 24 October 2026