Named Entity Recognition (NER)


Named-entity recognition is a subtask of information extraction that seeks to locate and classify named entity mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, etc.

Getting started

Named Entity Recognition Tagging
In this post, we go through an example from Natural Language Processing, in which we learn how to load text data and perform NER tagging for each token.
named-entity-recognition cs230 stanford recurrent-neural-networks

Tutorials

PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
MT-Clinical BERT
Scaling Clinical Information Extraction with Multitask Learning
health multi-task-learning information-extraction clinical-information-extraction
AllenNLP Interpret
A Framework for Explaining Predictions of NLP Models
interpretability explainability natural-language-processing api
Named Entity Recognition Tagging
In this post, we go through an example from Natural Language Processing, in which we learn how to load text data and perform NER tagging for each token.
named-entity-recognition cs230 stanford recurrent-neural-networks

Libraries

BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
AllenNLP Interpret
A Framework for Explaining Predictions of NLP Models
interpretability explainability natural-language-processing api
NER model for 40 languages trained with the new TFTrainer
This model is a fine-tuned XLM-Roberta-base over the 40 languages proposed in XTREME from Wikiann.
named-entity-recognition huggingface transformers tftrainer

Research

How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
MT-Clinical BERT
Scaling Clinical Information Extraction with Multitask Learning
health multi-task-learning information-extraction clinical-information-extraction
AllenNLP Interpret
A Framework for Explaining Predictions of NLP Models
interpretability explainability natural-language-processing api
BioBERT: a pre-trained biomedical language representation model
Code for fine-tuning BioBERT for biomedical text mining tasks such as biomedical NER, relation extraction, QA, etc.
health biomedical named-entity-recognition question-answering

Recent

NERS: NER-based Recommendation System
A NER-based movie recommendation system web application that suggests the right movies for the right user.
named-entity-recognition recommendation-systems movie-recommendation natural-language-processing
Named Entity Recognition Using Movies Dataset
This project aims to identify entities in movie titles and descriptions from the Movies Dataset.
machine-learning named-entity-recognition natural-language-processing pytorch
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