Topic: conceptnet Goto Github
Some thing interesting about conceptnet
Some thing interesting about conceptnet
conceptnet,An implementation of Probabilistic Soft Logic Engine using Python/Gurobi
User: adityasomak
conceptnet,/ru/ConceptNet5.7 Python wrapper
User: alexeyev
conceptnet,Code for generating Quasimodo, a commonsense knowledge base.
User: aunsiels
conceptnet,Public datasets for graph embedding
Organization: bi-graph
Home Page: https://github.com/bi-graph/KGdatasets
conceptnet,CauseNet: Towards a Causality Graph Extracted from the Web
Organization: causenet-org
Home Page: https://causenet.org/
conceptnet,Explainable Zero-Shot Topic Extraction
Organization: d2klab
Home Page: https://zeste.tools.eurecom.fr/
conceptnet,An SVM based approach to solve the Winograd Schema Challenge
User: dhanyagowrish
conceptnet,📝 Source code for "ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation" (SemEval 2020).
Organization: ecnu-ica
conceptnet,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
User: faridyusifli
conceptnet,Generate question with different types from any kind of text data and get answers for it.
User: fawzielnaggar
conceptnet,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.
Organization: heidelberg-nlp
conceptnet,ConceptNet datasource for the linked data fragments server (Server.js)
Organization: ibm
conceptnet,💫 SpaCy wrapper for ConceptNet 💫
User: julesbelveze
Home Page: https://julesbelveze.github.io/concepcy/
conceptnet,Python library to work with ConceptNet offline without the need for PostgreSQL
Organization: ldtoolkit
conceptnet,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 developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.
User: maria-becker
conceptnet,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.
User: maria-becker
conceptnet,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.
User: maria-becker
conceptnet,Refined and expanded version of Chinese ConceptNet
User: play0137
conceptnet,Generate coherent and understandable text in Chinese
User: play0137
conceptnet,ConceptNet 🚀🚀 is a powerful semantic network that represents general knowledge in a machine-readable format.
User: shriansh2002
Home Page: https://conceptnet-finder.vercel.app
conceptnet,Julia API for ConceptNetNumberbatch
User: zgornel
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