OpenNRE VS PURE

Compare OpenNRE vs PURE and see what are their differences.

OpenNRE

An Open-Source Package for Neural Relation Extraction (NRE) (by thunlp)

PURE

[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812 (by princeton-nlp)
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OpenNRE PURE
3 1
4,260 763
0.9% 1.7%
6.5 0.0
4 months ago almost 2 years 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.

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.

PURE

Posts with mentions or reviews of PURE. We have used some of these posts to build our list of alternatives and similar projects.
  • Relationship extraction
    1 project | /r/LanguageTechnology | 9 Jun 2021
    Searching for good models is actually a review and I encourage you on doing that. Simply search on some papers databases using the desired keywords. One fine model that has been released recently is the PURE model (https://github.com/princeton-nlp/PURE) which solves both Entity and Relation extraction using BERT and achieves SoTA results on ACE.

What are some alternatives?

When comparing OpenNRE and PURE you can also consider the following projects:

OpenIE-standalone

bert - TensorFlow code and pre-trained models for BERT

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.

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

minie - An open information extraction system that provides compact extractions

rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

knowledge-net - KnowledgeNet: A Benchmark Dataset for Knowledge Base Population