ccg2lambda
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface. (by mynlp)
TextFooler
A Model for Natural Language Attack on Text Classification and Inference (by jind11)
ccg2lambda | TextFooler | |
---|---|---|
1 | 1 | |
229 | 465 | |
0.4% | - | |
4.8 | 0.0 | |
5 months ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
ccg2lambda
Posts with mentions or reviews of ccg2lambda.
We have used some of these posts to build our list of alternatives
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TextFooler
Posts with mentions or reviews of TextFooler.
We have used some of these posts to build our list of alternatives
and similar projects.
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DeepMind’s New AI with a Memory Outperforms Algorithms 25 Times Its Size
I'd be interested to see if these models are robust against algorithms like TextFooler [0]. I'm skeptical this trend of 10x'ing the parameters will solve the "clever hans" problem.
[0]: https://github.com/jind11/TextFooler
What are some alternatives?
When comparing ccg2lambda and TextFooler you can also consider the following projects:
nlp-recipes - Natural Language Processing Best Practices & Examples
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
opencog - A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model
nli4ct
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models