453 Open source projects that are alternatives of or similar to weak-supervision-for-NER

👩‍🏫 Advanced NLP with spaCy: A free online course

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How to build and deploy an anonymization API with FastAPI

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

💫 Industrial-strength Natural Language Processing (NLP) in Python

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

An NER tool for ancient place names based on Pleiades and Spacy.

Named Entity Recognition based on dictionaries

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Build a deep learning model for predicting the named entities from text.

Azure Search Cognitive Skill to extract technical and business skills from text

Augmenty is an augmentation library based on spaCy for augmenting texts.

Named-entity recognition for Ruby

[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

Domain Adaptation

Clinical Concept Extraction with Contextual Word Embedding

SPEAR: Programmatically label and build training data quickly.

Python module for Named Entity Recognition (NER) using natural language processing.

traditional domain adaptation methods (e.g., GFK, TCA, SA)

A Named-Entity Recogniser based on Grobid.

Attending to Discriminative Certainty for Domain Adaptation

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

A neural named entity recognition and multi-type normalization tool for biomedical text mining

Transition-based NER system

Python Rule Processing Engine 🏺

A TextBlob sentiment analysis pipeline component for spaCy.

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Google USE (Universal Sentence Encoder) for spaCy

Virtual Machine for Desktop Search with Open Semantic Search

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

Adversarial Discriminative Domain Adaptation in Chainer

Repo containing the Twitter preprocessor module, developed by the AUTH OSWinds team

A command-line utility for extracting names of people, places, and organizations from text on macOS.

Named Entity Recognition for biomedical entities

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

Pytorch implementation of Deep Reconstruction Classification Networks

Self-training with Weak Supervision (NAACL 2021)

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Implementation of Nested Named Entity Recognition using Flair

Named-Entity-Recognition Workshop

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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 ta…

📖 Using deep learning and scraping to analyze/summarize articles! Just drop in any URL!

A python library that makes AMR parsing, generation and visualization simple.

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

A PyTorch-based toolkit for natural language processing

✨ 🧬 Turing AI - Semantic Navigation, Chatbot using Search Engine and Many NLP Vendors.

Language detection using Spacy and Fasttext

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".