A python package to fine-tune transformer-based models for named entity recognition (NER).

Related tags

Text Data & NLP nerblackbox
Overview

nerblackbox

A python package to fine-tune transformer-based language models for named entity recognition (NER).

PyPI PyPI - Python Version Travis CI https://coveralls.io/repos/github/af-ai-center/nerblackbox/badge.svg?branch=master PyPI - License

Resources

About

Transformer-based language models like BERT have had a game-changing impact on Natural Language Processing.

In order to utilize Hugging Face's publicly accessible pretrained models for Named Entity Recognition, one needs to retrain (or "fine-tune") them using labeled text.

nerblackbox makes this easy.

https://raw.githubusercontent.com/af-ai-center/nerblackbox/master/docs/docs/images/nerblackbox.png

You give it

  • a Dataset (labeled text)
  • a Pretrained Model (transformers)

and you get

  • the best Fine-tuned Model
  • its Performance on the dataset

Installation

pip install nerblackbox

Usage

see documentation: https://af-ai-center.github.io/nerblackbox

Citation

@misc{nerblackbox,
  author = {Stollenwerk, Felix},
  title  = {nerblackbox: a python package to fine-tune transformer-based language models for named entity recognition},
  year   = {2021},
  url    = {https://github.com/af-ai-center/nerblackbox},
}
You might also like...
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.

anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam

Hiroki Nakayama 1.5k Dec 5, 2022
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta

Franck Dernoncourt 1.5k Feb 11, 2021
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.

anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam

Hiroki Nakayama 1.4k Feb 17, 2021
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta

Franck Dernoncourt 1.5k Feb 17, 2021
Pytorch-Named-Entity-Recognition-with-BERT
Pytorch-Named-Entity-Recognition-with-BERT

BERT NER Use google BERT to do CoNLL-2003 NER ! Train model using Python and Inference using C++ ALBERT-TF2.0 BERT-NER-TENSORFLOW-2.0 BERT-SQuAD Requi

Kamal Raj 1.1k Dec 25, 2022
A text augmentation tool for named entity recognition.
A text augmentation tool for named entity recognition.

neraug This python library helps you with augmenting text data for named entity recognition. Augmentation Example Reference from An Analysis of Simple

Hiroki Nakayama 48 Oct 11, 2022
Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

null 186 Dec 24, 2022
Tool to add main subject to items on Wikidata using a WMFs CirrusSearch for named entity recognition or a manually supplied list of QIDs
Tool to add main subject to items on Wikidata using a WMFs CirrusSearch for named entity recognition or a manually supplied list of QIDs

ItemSubjector Tool made to add main subject statements to items based on the title using a home-brewed CirrusSearch-based Named Entity Recognition alg

Dennis Priskorn 9 Nov 17, 2022
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition （CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022
Comments
  • Bump bleach from 3.1.0 to 3.1.4

    Bump bleach from 3.1.0 to 3.1.4

    ⚠️ Dependabot is rebasing this PR ⚠️

    If you make any changes to it yourself then they will take precedence over the rebase.

    Bumps bleach from 3.1.0 to 3.1.4.

    Changelog

    Sourced from bleach's changelog.

    Version 3.1.4 (March 24th, 2020)

    Security fixes

    • bleach.clean behavior parsing style attributes could result in a regular expression denial of service (ReDoS).

      Calls to bleach.clean with an allowed tag with an allowed style attribute were vulnerable to ReDoS. For example, bleach.clean(..., attributes={'a': ['style']}).

      This issue was confirmed in Bleach versions v3.1.3, v3.1.2, v3.1.1, v3.1.0, v3.0.0, v2.1.4, and v2.1.3. Earlier versions used a similar regular expression and should be considered vulnerable too.

      Anyone using Bleach <=v3.1.3 is encouraged to upgrade.

      https://bugzilla.mozilla.org/show_bug.cgi?id=1623633

    Backwards incompatible changes

    • Style attributes with dashes, or single or double quoted values are cleaned instead of passed through.

    Features

    None

    Bug fixes

    None

    Version 3.1.3 (March 17th, 2020)

    Security fixes

    None

    Backwards incompatible changes

    None

    Features

    • Add relative link to code of conduct. (#442)

    • Drop deprecated 'setup.py test' support. (#507)

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
    • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
    • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
    • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 1
Owner
Felix Stollenwerk
Felix Stollenwerk
GitHub https://github.com/flxst/nerblackbox
Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

Yuki Okuda 3 Feb 27, 2022
TweebankNLP - Pre-trained Tweet NLP Pipeline (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Models + Tweebank-NER

TweebankNLP This repo contains the new Tweebank-NER dataset and Twitter-Stanza p

Laboratory for Social Machines 84 Dec 20, 2022
RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

Stefan Dumitrescu 9 Nov 7, 2022
Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

null 0 Feb 13, 2022
PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing

PhoNLP is a multi-task learning model for joint part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP produces state-of-the-art results, outperforming a single-task learning approach that fine-tunes the pre-trained Vietnamese language model PhoBERT for each task independently.

VinAI Research 109 Dec 2, 2022
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP

Pretrain and Fine-tune a T5 model with Flax on GCP This tutorial details how pretrain and fine-tune a FlaxT5 model from HuggingFace using a TPU VM ava

Gabriele Sarti 41 Nov 18, 2022
NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking

pretrain4ir_tutorial NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking 用作NLPIR实验室, Pre-training

ZYMa 12 Apr 7, 2022
Fine-tune GPT-3 with a Google Chat conversation history

Google Chat GPT-3 This repo will help you fine-tune GPT-3 with a Google Chat conversation history. The trained model will be able to converse as one o

Nate Baer 7 Dec 10, 2022
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta

Franck Dernoncourt 1.6k Dec 27, 2022
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized entity categories for different domains.

Zihan Liu 89 Nov 10, 2022