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Updated
Aug 1, 2022 - Python
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weak-supervision
Here are 56 public repositories matching this topic...
A system for quickly generating training data with weak supervision
python
data-science
machine-learning
ai
weak-supervision
snorkel
labeling
data-augmentation
training-data
data-slicing
frascuchon
commented
Oct 18, 2021
The default RubrixLogHTTPMiddleware record mapper for token classification expect a structured including a text field for inputs. This could make prediction model inputs a bit cumbersome. Default mapper could accepts also flat strings as inputs:
def token_classification_mapper(inputs, outputs):
iskweak: A software toolkit for weak supervision applied to NLP tasks
python
data-science
natural-language-processing
weak-supervision
spacy
nlp-library
nlp-machine-learning
distant-supervision
training-data
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Jul 1, 2022 - Python
Labelling platform for text using weak supervision.
nlp
search-engine
data-science
natural-language-processing
text-mining
text-classification
weak-supervision
ner
nlp-machine-learning
annotation-tool
pseudo-labeling
learning-with-noisy-labels
data-labeling
text-annotation-tool
learning-with-limited-labeled-data
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Jun 24, 2022 - JavaScript
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
nlp
natural-language-processing
weak-supervision
dataset
named-entity-recognition
self-training
ner
bert
pre-trained
weakly-supervised-learning
distant-supervision
weakly-supervised
fine-tuning
roberta
open-domain
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Jun 2, 2021 - Python
Implementation of CRAFT Text Detection
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Jun 24, 2022 - Python
This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).
text-classification
weak-supervision
dataset
self-training
language-model
slot-filling
weakly-supervised-learning
fine-tuning
pseudo-labeling
roberta
learning-with-noisy-labels
agnews
sentence-pair-classification
contrastive-learning
roberta-model
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Oct 11, 2021 - Python
WRENCH: Weak supeRvision bENCHmark
nlp
machine-learning
deep-learning
weak-supervision
dataset
benchmark-framework
sequence-labeling
weakly-supervised-learning
data-programming
robust-learning
data-centric-ai
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Aug 2, 2022 - Python
Self-training with Weak Supervision (NAACL 2021)
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Jun 22, 2022 - Python
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
python
nlp
natural-language-processing
weak-supervision
spacy
named-entity-recognition
hidden-markov-models
domain-adaptation
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Apr 19, 2021 - Jupyter Notebook
Weakly Supervised End-to-End Learning (NeurIPS 2021)
machine-learning
deep-learning
weak-supervision
weakly-supervised-learning
end-to-end-learning
pytorch-lightning
multi-source-weak-supervision
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Mar 23, 2022 - Python
A curated list of programmatic weak supervision papers and resources
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Jul 1, 2022 - TeX
SPEAR: Programmatically label and build training data quickly.
machine-learning
deep-learning
weak-supervision
semi-supervised-learning
unsupervised-learning
data-programming
data-efficient-learning
labeling-functions
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Updated
Jun 16, 2022 - Jupyter Notebook
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
weak-supervision
ner
biomedical
bert
weakly-supervised-learning
distant-supervision
biomedical-named-entity-recognition
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Aug 5, 2021 - Python
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
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Jul 29, 2020 - Jupyter Notebook
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
python
machine-learning
ai
pytorch
weak-supervision
classification
snorkel
relation-extraction
weakly-supervised-learning
natural-language-procressing
knodle
denoising-methods
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Apr 9, 2022 - Python
Weakly supervised medical named entity classification
text-classification
ontology
weak-supervision
ner
biomedical
umls
bert
weakly-supervised-learning
pseudo-labeling
learning-with-noisy-labels
umls-metathesaurus
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Jun 22, 2022 - Python
Topic Inference with Zeroshot models
nlp
data-science
machine-learning
taxonomy
text-classification
text
transformers
linguistics
weak-supervision
knowledge-graph
labelling
keyword-extraction
bert
weakly-supervised-learning
nli
labelled-data
zeroshot-learning
huggingface
hypernymy-extraction
keybert
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Feb 25, 2022 - Python
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
weak-supervision
representation-learning
data-augmentation
weakly-supervised-learning
weakly-supervised
rulebasednlp
iclr2020
rule-based-nlp
high-level-supervision
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Mar 7, 2021 - Python
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
library
weak-supervision
vae
concept
concept-extraction
weakly-supervised-learning
interpretability
disentanglement
model-explanation
explainable-ai
disentangled-representations
xai
explainability
concept-explanation
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May 30, 2022 - Python
Data Programming by Demonstration (DPBD) for Document Classification
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Jun 17, 2021 - Jupyter Notebook
Data programming by demonstration for information extraction and span annotation
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Sep 9, 2021 - JavaScript
Official data release to reproduce Confident Learning paper results
machine-learning
reproducible-research
weak-supervision
supervised-learning
reproducibility
confident-learning
noisy-labels
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Feb 17, 2022 - Jupyter Notebook
Manga&Comic text detection
ocr
computer-vision
deep-learning
anime
comics
weak-supervision
object-detection
scene-text-detection
weakly-supervised-segmentation
manga-translation
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Aug 4, 2022 - Python
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
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Apr 20, 2021 - Python
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
nlp
prompt
weak-supervision
adaptive-learning
interactive-learning
online-learning
weakly-supervised-learning
boosting
iterative-learning
rule-learning
rule-discovery
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Mar 18, 2022
Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"
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May 22, 2022 - Python
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
machine-learning
weak-supervision
training-data
data-programming
data-labeling
active-weak-supervision
interactive-weak-supervision
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Feb 25, 2021 - Python
Rare disease identification from free-text clinical notes with ontologies and weak supervision
ontology
weak-supervision
clinical-notes
mimic-iii
ontology-matching
umls
entity-linking
rare-disease
ordo
discharge-summaries
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Updated
Aug 4, 2022 - Python
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#306 adds static type checking; it would be nice to switch over to mypy strict mode (
--strict) once we have full coverage with type annotations.