AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning

Transformer-based models implemented in tensorflow 2.x(using keras).

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Unofficial (Golang) Go bindings for the Hugging Face Inference API

A collection of datasets for Ukrainian language

Lightweight self-hosted span annotation tool

Token classification using Phobert Models for Vietnamese

CNER: Concept and Named Entity Recognition

Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE

The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.

bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework

Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021

A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.

Data and code for the paper "ID10M: Idiom Identification in 10 Languages" (NAACL 2022).

Multi-task NLP Annotation Framework

The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.

Generative adversarial approach to most popular NLP tasks

Labeled Russian text token-by-token for training models for NER task based samples got from parsing different resources and generated by ChatGPT.

Code for the paper : Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts