conceptnet

💫 SpaCy wrapper for ConceptNet 💫

CauseNet: Towards a Causality Graph Extracted from the Web

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

Explainable Zero-Shot Topic Extraction

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 building ConceptNet from raw data.

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.

A simple, performant ConceptNet CLI and server implementation in Rust. Uses SQLite for data.

a large-scale graph database created as a combination of multiple taxonomy backbones extracted from 5 existing knowledge graphs, namely: ConceptNet, DBpedia, WebIsAGraph, WordNet and the Wikipedia category hierarchy

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

Julia API for ConceptNetNumberbatch

Refined and expanded version of Chinese ConceptNet

Public datasets for graph embedding

ConceptNet datasource for the linked data fragments server (Server.js)