KGCP/DDM_PARSE_Fusion

This is the PARSE+DDM pipelines integration

Python

3

20 commits

updated Sep 1, 2025

See the code

README

Integration_Pipeline

DPFusion (DDM_PARSE_Fusion)

This repository continues our previous work titled "Towards Building an RDF-based Deep Document Model and Retrieval-Augmented Generation System for Enhanced Question Answering with Large Language Models".

The primary focus of this repository is:

  • Integration of the PARSE+DDM pipelines to build a automated framework for Knowledge graph construction and information retrieval.
  • Conducting experiments with StructRAG, a Structure-Aware Retrieval-Augmented Generation Framework, which leverages a Scholarly Knowledge Graph

To enable:

  • Structurally-aware question answering by incorporating hierarchical document structures.
  • Diverse and path-enhanced responses through enhanced retrieval mechanisms.
  • Accurate and high-quality answers by leveraging structural metadata and scholarly knowledge graphs.

KGCP/DDM_PARSE_Fusion

This is the PARSE+DDM pipelines integration

Python

3

20 commits

updated Sep 1, 2025

See the code

README

Integration_Pipeline

DPFusion (DDM_PARSE_Fusion)

This repository continues our previous work titled "Towards Building an RDF-based Deep Document Model and Retrieval-Augmented Generation System for Enhanced Question Answering with Large Language Models".

The primary focus of this repository is:

  • Integration of the PARSE+DDM pipelines to build a automated framework for Knowledge graph construction and information retrieval.
  • Conducting experiments with StructRAG, a Structure-Aware Retrieval-Augmented Generation Framework, which leverages a Scholarly Knowledge Graph

To enable:

  • Structurally-aware question answering by incorporating hierarchical document structures.
  • Diverse and path-enhanced responses through enhanced retrieval mechanisms.
  • Accurate and high-quality answers by leveraging structural metadata and scholarly knowledge graphs.