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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 ...

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github.com › topics › name-entity-recognition

name-entity-recognition · GitHub Topics · GitHub

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

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.

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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 › 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)

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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.

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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.

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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 › 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 › 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

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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.

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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, ...

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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

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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

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

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.

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github.com › Franck-Dernoncourt › NeuroNER

GitHub - Franck-Dernoncourt/NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results. - Franck-Dernoncourt/NeuroNER

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github.com › IBM › zshot

GitHub - IBM/zshot: Zero and Few shot named entity & relationships recognition

Zshot is a highly customisable framework for performing Zero and Few shot named entity recognition.

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github.com › Chenfeng1271 › awesome-MNER

GitHub - Chenfeng1271/awesome-MNER: awesome-multimodal-named-entity-recognition

A collection of resources on multimodal named entity recognition.

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arxiv.org › abs › 2501.04455

[2501.04455] Hidden Entity Detection from GitHub Leveraging Large Language Models

January 8, 2025 - View a PDF of the paper titled ... (experimental) Abstract:Named entity recognition is an important task when constructing knowledge bases from unstructured data sources....

github.com › ShuheWang1998 › GPT-NER

GitHub - ShuheWang1998/GPT-NER

This repo contains code for the paper GPT-NER: Named Entity Recognition via Large LanguageModels.

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github.com › NorskRegnesentral › weak-supervision-for-NER

GitHub - NorskRegnesentral/weak-supervision-for-NER: Framework to learn Named Entity Recognition models without labelled data using weak supervision.

April 19, 2021 - Framework to learn Named Entity Recognition models without labelled data using weak supervision. - NorskRegnesentral/weak-supervision-for-NER

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