A column oriented dataset that can be used for named-entity recognition.
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Updated
Jan 7, 2019 - Python
A column oriented dataset that can be used for named-entity recognition.
Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`.
A machine translation project that safeguards sensitive data through privacy-preserving techniques.
Project that aims to sentenize all the open data of Riksdagen and other sources to create an easily linkable dataset of sentences that can be refered to from Wikidata lexemes and other resources
FastAPI semantic search + custom entity detection platform.
An end-to-end NLP project that extracts skills from job descriptions, builds job–resume matching recommendations, and showcases deployment with FastAPI and AWS.
Named Entity Recognition
An exploration of machine learning approaches to Named Entity Recognition (NER) on the Reuters datases, including techniques employing classical ML classifiers as well as those employing Neural Networks and pre-trained (Word2vec) embeddings
A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging
Advanced NER Applications: Implementing KNN, Feed-Forward, and LSTM Models with Class Imbalance Reduction Techniques.
This package provides a trained transformer model for analyzing thyroid ultrasound reports. It performs Named Entity Recognition and Relation Extraction.
Machine learning NLP microservice for Street Ninja. Parses incoming SMS messages and extracts structured entities like location, resource, and qualifiers using a spaCy-trained NER model.
Enterprise Named Entity Recognition | BERT + Bi-LSTM-CRF | 92% F1 Score | Streamlit Dashboard
Transfer Learning for Text Summarization
Named entity recognition microservice
A small project of Named Entity Recognition problem, using hand-craft feature combined with word2vec model to train the Convolutional Neural Network
Proof-of-concept exploration project for natural language processing
Train a custom NER model with spaCy - Workshop
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