Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
IEEE

Gender Abusive Bengali Text Classification using Enhanced CNN-LSTM Model with Bangla BERT Base Preprocessing

Abstract: With the rapid proliferation of social media and online communication platforms, the presence of gender-based abusive language has emerged as a significant issue in the digital sphere.
IEEE

Construction and Mathematical Application of Document-Level Relationship Extraction Model Combining R-GCN and Text Features

Abstract: With the development of smart education, building a knowledge graph to integrate educational resources has become particularly important. However, existing sentence level relationship ...