knowledge-net
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population (by diffbot)
OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE) (by thunlp)
| knowledge-net | OpenNRE | |
|---|---|---|
| 1 | 3 | |
| 257 | 4,260 | |
| 1.6% | 0.9% | |
| 0.0 | 6.5 | |
| about 3 years ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
knowledge-net
Posts with mentions or reviews of knowledge-net.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-21.
OpenNRE
Posts with mentions or reviews of OpenNRE.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-17.
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RAG Using Unstructured Data and Role of Knowledge Graphs
OpenNRE (https://github.com/thunlp/OpenNRE) is another good approach to neural relation extraction, though it's slightly dated. What would be particularly interesting is to combine models like OpenNRE or SpanMarker with entity-linking models to construct KG triples. And a solid, scalable graph database underneath would make for a great knowledge base that can be constructed from unstructured text.
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How to get knowledge graph triples from text?
OpenNRE
- KELM: Integrating Knowledge Graphs with Language Model Pre-Training Corpora
What are some alternatives?
When comparing knowledge-net and OpenNRE you can also consider the following projects:
OpenIE-standalone
Graphene - Coreference Resolution, Simplification and Open Relation Extraction Pipeline
CogCompNLP - CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
minie - An open information extraction system that provides compact extractions
PURE - [NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction