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Explainable Zero-Shot Topic Extraction
Extra blocks for scikit-learn pipelines.
Collection of NLP model explanations and accompanying analysis tools
? SpaCy wrapper for 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.
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).
CauseNet: Towards a Causality Graph Extracted from the Web
Code for generating Quasimodo, a commonsense knowledge base.
We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs
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