Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
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Updated
May 16, 2024 - Python
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
Scripts, algorithms and files for a rule-based and ML-based approach for binary classification of regulatory / non-regulatory sentences in EU legislative documents, as well as code for evaluating the accuracy of these approaches
Implemented projects from noncontextual word embeddings like Word2Vec to contextual word embeddings like ELMO, GPT, BERT to solving NLP tasks Sentence Level Classification (sentimental analysis & Toxic comment classification), Token Level Classification (POS Tagging, NER Tagging), Machine Translation (MT)
Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
This repository houses the source code for a Streamlit-based annotation interface developed for classifying sentences in legal documents. The interface is a part of a broader initiative to analyze court statements, specifically focusing on assessing judicial attitudes toward victims of sexual violence in the Israeli court system.
CNNs for Text Classification in PyTorch
Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.
Multi-task NLP Annotation Framework
Find Chinese sentences based on your known vocabulary and other rules
State-of-the-Art Ember embedding model for retrieval augmented generation
PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
Implementation of classification of grammatically correct sentences and wrong sentences, and integration of MLOps tools.
all kinds of text classification models and more with deep learning
Model available on HuggingFace
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
BERT: Sentence-Pair Classification for Natural Language Understanding
Opensource Korean chatbot framework
Sentence split, Text classfication, performanc analysis for NLP
Homework on mutlilingual word embeddings and sentence classification - MVA MSc
Sentence Classifications with Neural Networks
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