rebel
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021). (by Babelscape)
BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper (by plkmo)
| rebel | BERT-Relation-Extraction | |
|---|---|---|
| 1 | 1 | |
| 438 | 557 | |
| 7.5% | - | |
| 5.4 | 4.4 | |
| 6 months ago | 8 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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.
rebel
Posts with mentions or reviews of rebel.
We have used some of these posts to build our list of alternatives
and similar projects.
-
train_epoch_end doesnt compute train metrics, same code works with val_epoch_end - any ideas?
Hey together, I am training a transformer based on public code in a github repo (https://github.com/Babelscape/rebel) and noticed they are not collecting training metrics apart from the loss. Now I would like to visualize the train-set performance as well as the validation-set performance, as this would give me further clues in regards to overfitting etc.
BERT-Relation-Extraction
Posts with mentions or reviews of BERT-Relation-Extraction.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to enable GPU with using github BERT model?
I'm currently following this github repo-https://github.com/plkmo/BERT-Relation-Extraction - in attempt to parse my own data later. When i'm trying to pre-train this model with cnn.txt the compute goes entirely to cpu/ram or so I assume. It has taken over 7h doing this so far with no sign of completion.
What are some alternatives?
When comparing rebel and BERT-Relation-Extraction you can also consider the following projects:
this-word-does-not-exist - This Word Does Not Exist
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)