A very simple framework for state-of-the-art Natural Language Processing (NLP)

This repository contains the code and PLODv2 dataset to train character-level language models (CLM) for abbreviation and long-form detection released with our LREC-COLING 2024 publication

a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。

This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Input Output Hidden Markov Model (IOHMM) in Python

A PyTorch implementation of the BI-LSTM-CRF model.

expression sequence machine learning application

logistic regressor for the plant disease resistance genes using sequence features and expression.

plant resistance gene analyzer for getting the dna and protein sequences.

a Deep Learning Framework for Text

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Leveraging Language Models for Sequence Labeling Using fastai

A Tensor Creation and Label Reconstruction for Sequence Labeling

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Fast Encoding of Theater in TEI: Automatic TEI generation based on OCR output

A Japanese tokenizer based on recurrent neural networks

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、抽取式文本摘要等序列标注任务。 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 spee

Extended CoNLL Utilities for Shallow Parsing

Arabic Text Classification and Sequence Labeling