Graphene
Coreference Resolution, Simplification and Open Relation Extraction Pipeline (by Lambda-3)
OpenIE-standalone
By dair-iitd
| Graphene | OpenIE-standalone | |
|---|---|---|
| 1 | 2 | |
| 138 | 559 | |
| 0.0% | 1.8% | |
| 1.8 | 0.0 | |
| almost 3 years ago | over 2 years ago | |
| Java | PostScript | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
Graphene
Posts with mentions or reviews of Graphene.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-21.
OpenIE-standalone
Posts with mentions or reviews of OpenIE-standalone.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-21.
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KELM: Integrating Knowledge Graphs with Language Model Pre-Training Corpora
The field of Open Information Extraction has been trying to do that in a generic way for a long time, but the results are still far from good. A few references: OpenIE [1] Graphene [2] MinIE [3].
If you already have a Knowledge Graph (KG) and want to populate its instances from documents, that's called KG Population, and Knowledge-net [4] is a good reference.
Relation Extraction is another interesting approach if you know which kind of relations you're interested in, OpenNRE [5] a good example.
[1] https://github.com/dair-iitd/OpenIE-standalone
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Looking for a Claim Extraction/Sentence Segmentation Framework
if all you need is claim extraction I'd try with information extraction tools first such as openie https://github.com/dair-iitd/OpenIE-standalone
What are some alternatives?
When comparing Graphene and OpenIE-standalone you can also consider the following projects:
knowledge-net - KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
OpenNRE - An Open-Source Package for Neural Relation Extraction (NRE)
minie - An open information extraction system that provides compact extractions
Deep-Learning