This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
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 Updated
 
Jul 16, 2022  - Python
 
This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.
git-mind is an open-source protocol and toolkit that turns Git into a database-less, version-controlled semantic knowledge graph — a substrate for distributed cognition, evolving interpretation, and human–AI co-thought.
HyperCortex Mesh Protocol (HMP): decentralized cognitive mesh for AI agents
Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity
An attempt to establish the computational basis of humor.
XSLT processors that automatically generate instances of LinkedMDR ontology
Unified Parallel Semantic Log Parsing based on Causal Graph Construction for Attack Attribution
The Dynamic Knowledge System (DKS) develops adaptive knowledge representation models that evolve in real-time, learning, updating, and reasoning under uncertainty.
A novel method for the construction and weighing of the semantic graph, which contains text segments (terms or sentences) as nodes and weighted edges that capture the semantic relatedness (i.e. relatedness in meaning) between nodes and experimental evaluation of semantic rank in keyword extraction and text summarization tasks.
🧠 Proprietary Multimodal Cognitive Architecture - SpikingBrain + Long-VITA + Whisper with dynamic context, fusion layers, hybrid memory, and adaptive personality. Not a chatbot. A cognitive mind.
quick and dirty code for finding isomorphic (edge structure based) directed semantic graphs
customised version of conceptnet 5 (and utils) used as a source of input spaces, analogies/mappings and frames in Conceptual Blending experiments
examples of directed semantic graphs and simple Knowledge Bases for experiments
NLP toolkit for preprocessing, embedding, topic modeling, and graph construction. Built for integration with NP-Backend-Dockers.
converts directed semantic graphs between four file formats: csv, tgf, pro, dt
Image recognition system by semantic graph correction
A deep, transformer-inspired Graph Attention Network (GAT) for link prediction on semantic graphs. This project features a custom GNN architecture and a large-scale dataset built from Wikipedia.
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