conceptnet

💫 SpaCy wrapper for ConceptNet 💫

Python library to work with ConceptNet offline without the need for PostgreSQL

CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.

An implementation of Probabilistic Soft Logic Engine using Python/Gurobi

📝 Source code for "ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation" (SemEval 2020).

Code for generating Quasimodo, a commonsense knowledge base.

Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.

CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.

This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …

Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.

/ru/ConceptNet5.7 Python wrapper

ConceptNet MCP Server (Semantic Knowledge for LLMs)

This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …

An auditable, hallucination-free alternative to LLMs: 100k facts, sub-millisecond queries, one CPU thread. HRR/VSA substrate with provenance, calibrated confidence, and belief revision. Every benchmark reproducible from the repo.

Códigos usados en el desarrollo del TFM personal para el Máster Oficial en Humanidades Digitales de la UNED.

Code and dataset for enriching the ConceptNet Knowledge Graph with forensic semantics using LLMs (LLaMA via Groq), spaCy, and Neo4j.

Knowledge-graph-grounded LLM framework for commonsense, ambiguity-aware, and risk-aware robot task planning.

Generate coherent and understandable text in Chinese