Medium
medium.com › quantrium-tech › top-3-packages-for-named-entity-recognition-e9e14f6f0a2a
Top 3 Packages for Named Entity Recognition | by Maria Philna Aruja | Quantrium.ai | Medium
February 12, 2022 - It uses Bloom embedding and residual CNN’s to identify the named entities. Here is an example of NER performed using SpaCy. ... Natural language Toolkit is a set of libraries used for NLP. It is widely used in research and for educational purposes.
Reddit
reddit.com › r/machinelearning › [d] named entity recognition (ner) libraries
r/MachineLearning on Reddit: [D] Named Entity Recognition (NER) Libraries
January 7, 2023 - ... One option is Stanford NER, which is a named entity recognition tool developed by Stanford University. It uses a CRF (conditional random field) model trained on a large dataset of named entities, and it's relatively fast and accurate.
Best and safest libraries to train a NER model (in python) Feb 28, 2025
r/LanguageTechnology last yr.
What are the newest (open-source/free) tools for Named Entity Recognition? Jan 27, 2026
r/KnowledgeGraph 5mo ago
what is the current state of the art approach for NER with word (or similar) embeddings? Jan 7, 2019
r/LanguageTechnology 7y ago
[D] Named Entity Recognition (NER) Libraries
Another thing you can do is looking into https://github.com/promptslab/Promptify which is a relative new library using GPT-3 for NER. ... One option is Stanford NER, which is a named entity recognition tool developed by Stanford University. It uses a CRF (conditional random field) model trained ... More on reddit.com
Named Entity Recognition (NER) Libraries
NER is highly domain- and corpus-specific. SpaCy is just about as good as it gets when it comes to off-the-shelf stuff. If it does not perform well enough, you need go train your own NER tagger. More on reddit.com
Named Entity Recognition training
upload example named entities and use it as a basis to do a classification Not sure I follow your question. What are you requesting exactly? You already have your dataset. Can you not use that to train a classifier? Is that not the very thing you're trying to achieve? More on reddit.com
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.com05:01
What is Entity Extraction? Named Entity Recognition (NER) Explained ...
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Named Entity Recognition (NER) Explained: Finding People, Places, ...
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Named Entity Recognition (NER): NLP Tutorial For Beginners - S1 ...
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Named Entity Recognition (NER) in Python: Pre-Trained & Custom ...
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Best way to do Named Entity Recognition in 2024 with GliNER and ...
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Named Entity Recognition Projects | Extract Entities from Text ...
GitHub
github.com › fastdatascience › company_named_entity_recognition
GitHub - fastdatascience/company_named_entity_recognition: Company named entity recognition · GitHub
This is a lightweight Python library for finding company names in a string, otherwise known as named entity recognition (NER) and named entity linking.
Author fastdatascience
arXiv
arxiv.org › abs › 2209.12616
[2209.12616] T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
September 9, 2022 - In this paper, we present T-NER (Transformer-based Named Entity Recognition), a Python library for NER LM finetuning. In addition to its practical utility, T-NER facilitates the study and investigation of the cross-domain and cross-lingual ...
Stanford NLP Group
nlp.stanford.edu › software › CRF-NER.html
Software > Stanford Named Entity Recognizer (NER)
Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. It comes with well-engineered feature extractors for Named Entity Recognition, and many options for defining feature extractors.
Wisecube
wisecube.ai › blog › named-entity-recognition-ner-with-python
Named Entity Recognition (NER) with Python – Wisecube AI – Research Intelligence Platform
Performing named entity recognition with a pre-trained model using Python typically involves the following steps: ... spaCy, nltk, and flair are all open-source libraries for natural language processing (NLP) in Python.
Fastdatascience
fastdatascience.com › ai-in-pharma › medical-named-entity-recognition-python-library
Medical named entity recognition Python library | Fast Data Science®
October 26, 2025 - We have open-sourced a Python library called Medical Named Entity Recognition for finding diseases and medical conditions in a string.
ACL Anthology
aclanthology.org › 2023.nlposs-1.20.pdf pdf
A High-level Library for Named Entity Recognition in Python
Figure 2: High-level overview of the nerblackbox library. It allows to easily fine-tune, evaluate and apply models · for named entity recognition.
Eden AI
edenai.co › home › blog › top 10 named entity recognition (ner) api
Top 10 Named Entity Recognition (NER) API
May 22, 2026 - Top 10 NER APIs: AWS · GoogleCloud · IBM · Lettria · Microsoft Azure · MonkeyLearn · Neural Space · OneAI · Repustate · TextRazor
Kairntech
kairntech.com › home › blog › the complete guide to named entity recognition (ner): methods, tools, and use cases
NER Guide: How to Automate Data Extraction Without Code
April 9, 2026 - While NLP encompasses all techniques to process and understand language, NER focuses specifically on extracting and classifying named entities from text. ... BERT is a large language model that can be fine-tuned for NER tasks. NER, on the other hand, is a goal — extracting entities — which BERT can help achieve when integrated into a recognition pipeline.
PyPI
pypi.org › project › drug-named-entity-recognition
drug-named-entity-recognition · PyPI
Drug Named Entity Recognition library to find and resolve drug names in a string (drug named entity linking)
» pip install drug-named-entity-recognition
Published Jul 15, 2025
Version 2.0.9
spaCy
spacy.io
spaCy · Industrial-strength Natural Language Processing in Python
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
Fastdatascience
fastdatascience.com › ai-in-pharma › drug-named-entity-recognition-python-library
Drug named entity recognition Python library | Fast Data Science®
October 26, 2025 - We have open-sourced a Python library called Drug Named Entity Recognition for finding drug names in a string.