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discopy-nlp

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Categorical NLP with DisCoPy

Education & Research#nlp#category theory#discopy#string diagrams#quantum computing#compositional semantics
AuthorHermeticOrmus
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the complexity of implementing compositional distributional semantics and working with categorical structures in Natural Language Processing (NLP) by providing tools for building string diagram computations and applying categorical semantics.

Core Features & Use Cases

  • Compositional Semantics: Implement models for understanding sentence meaning through composition.
  • String Diagrams: Visualize and compute with grammatical structures as diagrams.
  • Quantum NLP: Explore quantum-inspired models for NLP tasks.
  • Use Case: A researcher wants to build a system that understands sentence structure and meaning using category theory principles, visualizing the process with string diagrams.

Quick Start

Use the discopy-nlp skill to parse the sentence 'John loves Mary' using pregroup grammar.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: discopy-nlp
Download link: https://github.com/HermeticOrmus/hermetic-claude/archive/main.zip#discopy-nlp

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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