Named Entity Recognition with BiLSTM, CRF, and Attention-based models implemented in PyTorch for Indonesian News.
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Updated
Jun 17, 2024 - Python
Named Entity Recognition with BiLSTM, CRF, and Attention-based models implemented in PyTorch for Indonesian News.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Augmenty is an augmentation library based on spaCy for augmenting texts.
A tool for fixing a BibTeX reference list using DBLP API
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
Pythonic wrappers for Cider/CiderD evaluation metrics. Provides CIDEr as well as CIDEr-D (CIDEr Defended) which is more robust to gaming effects. We also add the possibility to replace the original PTBTokenizer with the Spacy tekenizer (No java dependincy but slower)
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).
Repository for QA-based event detection and extraction from news and social media.
This is an official pytorch implementation for the experiments described in the paper - Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
pytorch implementation of the simple word embedding model.
Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".
Comparing between residual stream and highway stream in transformers(BERT) .
A method for assessing the data readiness of NLP projects, as well as the code necessary for visualizing the outcome of the method.
Code and data of the ACL 2021 paper "Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution"
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