github.com › topics › named-entity-recognition

named-entity-recognition · GitHub Topics · GitHub

python nlp data-science machine-learning natural-language-processing ai deep-learning neural-network text-classification cython artificial-intelligence spacy named-entity-recognition neural-networks nlp-library tokenization entity-linking

Named-entity recognition

extraction of named entity mentions in unstructured text into pre-defined categories

Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text … Wikipedia

github.com › kamalkraj › Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

GitHub - kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs: Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A keras implementation of Bidirectional-LSTM_CNNs for Named-Entity-Recoganition.

Starred by 369 users

Forked by 141 users

Languages Python

Discussions

[D] Named Entity Recognition (NER) Libraries

If spaCy’s NER isn’t picking up what you need, you’ll probably need to look into creating your own annotations and fine tuning a model or training a custom model. It isn’t too hard using BIO/BILOU tags. Things like “raw materials” and particularly niche models and brands are unlikely to be picked up by off the shelf solutions. More on reddit.com

r/MachineLearning

10

11

January 7, 2023

Named Entity Recognition

Unfortunately taking a model and applying it to another language is not trivial, maybe even jnfeasible for NER. In fact, its better to train your NER model directly in the language you want to work on.

So unless you can find a trained model in your language, you'd need to train it yourself which would require lots of labelling efforts.

More on reddit.com

r/LanguageTechnology

6

7

May 2, 2020

Videos

Best way to do Named Entity Recognition in 2024 with GliNER and ...

𝐍𝐋𝐏 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 (Part 2): Building A ...

Named Entity Recognition (NER): NLP Tutorial For Beginners - S1 ...

NLP Projects | How to Perform Named Entity Recognition (NER) on ...

Custom Named Entity Recognition using Python - YouTube

github.com › deeppavlov › ner

GitHub - deeppavlov/ner: Named Entity Recognition

In this repo you can find several neural network architectures for named entity recognition from the paper "Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition" https://arxiv.org/pdf/1709.09686.pdf, which is inspired by LSTM+CRF architecture from https://arxiv.org/pdf/1603.01360.pdf.

Starred by 336 users

Forked by 64 users

Languages Python 74.4% | Jupyter Notebook 25.6%

github.com › floydhub › named-entity-recognition-template

GitHub - floydhub/named-entity-recognition-template: Build a deep learning model for predicting the named entities from text.

June 5, 2018 - Build a deep learning model for predicting the named entities from text. - floydhub/named-entity-recognition-template

Starred by 55 users

Forked by 19 users

Languages Jupyter Notebook

github.com › guillaumegenthial › sequence_tagging

GitHub - guillaumegenthial/sequence_tagging: Named Entity Recognition (LSTM + CRF) - Tensorflow

Named Entity Recognition (LSTM + CRF) - Tensorflow - guillaumegenthial/sequence_tagging

Starred by 1.9K users

Forked by 703 users

Languages Python 99.5% | Makefile 0.5%

github.com › mxhofer › Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

GitHub - mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL: Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

Code adapted from: https://github.com/kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Starred by 179 users

Forked by 83 users

Languages Jupyter Notebook 83.5% | Python 16.5%

github.com › Hironsan › anago

GitHub - Hironsan/anago: Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on. - Hironsan/anago

Starred by 1.5K users

Forked by 365 users

Languages Python

Find elsewhere

Google Bing Mojeek

github.com › guillaumegenthial › tf_ner

GitHub - guillaumegenthial/tf_ner: Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Each folder contains a standalone, short (~100 lines of Tensorflow), main.py that implements a neural-network based model for Named Entity Recognition (NER) using tf.estimator and tf.data.

Starred by 924 users

Forked by 273 users

Languages Python 87.7% | Perl 12.1% | Makefile 0.2%

github.com › bnajlis › named_entity_recognition

GitHub - bnajlis/named_entity_recognition: Online News Named Entity Recognition with Deep Learning and Max Entropy

This project aimed to create a series of models for the extraction of Named Entities (People, Locations, Organizations, Dates) from news headlines obtained online. We created two models: a traditional Natural Processing Language Model using ...

Starred by 3 users

Forked by 3 users

Languages Jupyter Notebook

github.com › topics › name-entity-recognition

name-entity-recognition · GitHub Topics · GitHub

An AI-powered, but model-agnostic name-entity recognition toolkit.

github.com › universal-ner › universal-ner

GitHub - universal-ner/universal-ner

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Wenxuan Zhou*, Sheng Zhang*, Yu Gu, Muhao Chen, Hoifung Poon (*Equal Contribution)

Starred by 369 users

Forked by 31 users

Languages Python 93.9% | JavaScript 2.6% | HTML 2.0%

github.com › juand-r › entity-recognition-datasets

GitHub - juand-r/entity-recognition-datasets: A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

This repository contains datasets from several domains annotated with a variety of entity types, useful for entity recognition and named entity recognition (NER) tasks.

Starred by 1.6K users

Forked by 248 users

Languages Python 99.2% | Shell 0.8%

github.com › topics › ner

Build software better, together

nlp machine-learning text-classification named-entity-recognition seq2seq transfer-learning ner bert sequence-labeling nlp-framework bert-model text-labeling gpt-2

github.com › urchade › GLiNER

GitHub - urchade/GLiNER: Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024 - urchade/GLiNER

Starred by 2.6K users

Forked by 238 users

Languages Python

github.com › zenithexpo › Named-Entity-Recognition

GitHub - zenithexpo/Named-Entity-Recognition: Named Entity Recognition (NER) is the information extraction task of identifying and classifying mentions of locations, quantities, monetary values, organizations, people, and other named entities within a text.

Named Entity Recognition (NER) is the information extraction task of identifying and classifying mentions of locations, quantities, monetary values, organizations, people, and other named entities within a text.

Author zenithexpo

github.com › Tekraj15 › Named-Entity-Recognition-Using-LSTM-Keras

GitHub - Tekraj15/Named-Entity-Recognition-Using-LSTM-Keras: bidirectional LSTM neural network model to recognize named entities in text data i.e. identify mentions of people, locations, organizations, etc.

Using the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions of people, locations, ...

Starred by 8 users

Forked by 5 users

Languages Jupyter Notebook

github.com › Babelscape › ner4el

GitHub - Babelscape/ner4el: Repository for the paper "Named Entity Recognition for Entity Linking: What Works and What's Next" (EMNLP 2021).

Code and resources for the paper Named Entity Recognition for Entity Linking: What Works and What's Next.

Starred by 76 users

Forked by 2 users

Languages Python 99.5% | Shell 0.5%

github.com › aiola-lab › whisper-ner

GitHub - aiola-lab/whisper-ner: Official implementation of "WhisperNER: Unified Open Named Entity and Speech Recognition"

Official implementation of "WhisperNER: Unified Open Named Entity and Speech Recognition" - aiola-lab/whisper-ner

Starred by 197 users

Forked by 8 users

Languages Python

github.com › fastdatascience › drug_named_entity_recognition

GitHub - fastdatascience/drug_named_entity_recognition

This is a lightweight Python natural language processing library for finding drug names in a string, otherwise known as named entity recognition (NER) and named entity linking.

Starred by 30 users

Forked by 14 users

Languages Jupyter Notebook 66.5% | Python 33.5%

spaCy · Industrial-strength Natural Language Processing in Python

Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking and more