---
title: "Who cites SECTOR: A Neural Model for — 39 citing papers"
description: "39 papers of the Elamur Research library cite «SECTOR: A Neural Model for Coherent Topic Segmentation and Classification», found in their…"
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---
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# Who cites «SECTOR: A Neural Model for Coherent Topic Segmentation and Classification»

39 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «SECTOR: A Neural Model for Coherent Topic Segmentation and Classification»](https://md.research.elamur.ai/free/en/papers/arnold-2019-sector-neural-model-coherent-topic/)

1. **[From Documents to Segments: A Contextual Reformulation for Topic Assignment](https://md.research.elamur.ai/free/en/papers/yoon-2026-documents-segments-contextual-reformulation-topic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoonsang Yoon, Takyoung Kim, Wonkee Lee, et al.*2026*

38 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/arnold-2019-sector-neural-model-coherent-topic/) — SECTOR: A Neural Model for Coherent Topic Segmentation and Classification