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title: "Holographic Neural PCFG for Unsupervised Parsing — Stuff That Spins"
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date: "2026-07-10T04:00:00+00:00"
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# Holographic Neural PCFG for Unsupervised Parsing

**Source:** Unknown  
**Published:** July 10, 2026  
**Original:** https://arxiv.org/abs/2607.08063  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.08063v1 Announce Type: new Abstract: Unsupervised constituency parsing aims to accurately induce latent tree structures from raw text alone. Recent neural parameterizations of PCFGs achieve strong performance in both supervised and unsupervised parsing, yet rely on high-capacity black-box networks for rule scoring -- as exemplified by the Neural PCFG family -- leaving rule probabilities without an interpretable mathematical form. In this paper, we propose Holographic Neural PCFG (Hol-

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