named-entity-recognition

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

🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具，支持BertSoftmax、BertSpan等模型，开箱即用。

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. :star: support NLP!

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

[EMNLP'21] Visual News: Benchmark and Challenges in News Image Captioning

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

PyTorch-IE: State-of-the-art Information Extraction in PyTorch

[IJCAI 2024] Continual Multimodal Knowledge Graph Construction

Applying BERT for named entity recognition on resumes.

Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very simple to use and very convenient to customize

[ACL 2024 Findings] Code implementation of Paper "Rethinking Negative Instances for Generative Named Entity Recognition"

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

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

Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace

GLiNER model in a FastAPI microservice.

A Named Entity Recognition + Entity Linker + Relation Extraction Pipeline built using spacy v3. Given a text, the pipeline will extract entities from the text as trained and will disambiguate the entities to its normalized form through an Entity Linker connected to a Knowledge Base and will assign a relation between the entities, if any.

Repository for the paper "MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)" (NAACL 2022).

Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation

Fine-tuning a Hugging Face BERT model for the United Nations Named Entity Recognition task.