EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
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Updated
May 6, 2019 - Python
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.
Personalized knowledge graph summarization based on historical queries
Research for master degree, operation projizz-I/O
A library for FCA-Tool Developer.
OpenKE-based implementation of KG embedding model JOIE (Jointly Embedding Instances and Ontological Concepts)
Easy Google Kubernetes Engine deployment of AmbiverseNLU
A column oriented dataset that can be used for named-entity recognition.
FactCheck, a general-purpose benchmark that is designed to verify facts in KG using LLMs (including both open-source and commercial ones).
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